From c9beccd33124e2f1f4b754d50f2d2e1c69d913bc Mon Sep 17 00:00:00 2001 From: mitokic Date: Fri, 25 Oct 2024 22:58:21 +0000 Subject: [PATCH] Built site for finnts@0.5.0: f5825bd --- 404.html | 2 +- CODE_OF_CONDUCT.html | 2 +- LICENSE-text.html | 2 +- LICENSE.html | 2 +- SECURITY.html | 2 +- SUPPORT.html | 2 +- .../back-testing-and-hyperparameter-tuning.html | 12 ++++++------ articles/best-model-selection.html | 2 +- articles/external-regressors.html | 2 +- articles/feature-engineering.html | 2 +- articles/feature-selection.html | 2 +- articles/finnts.html | 2 +- articles/forecast-components.html | 2 +- articles/hierarchical-forecasting.html | 2 +- articles/index.html | 2 +- articles/models-used-in-finnts.html | 4 ++-- articles/parallel-processing.html | 6 +++--- articles/tips-for-production.html | 2 +- authors.html | 2 +- index.html | 2 +- news/index.html | 10 +++++----- pkgdown.yml | 2 +- reference/cubist_multistep.html | 2 +- reference/cubist_multistep_fit_impl.html | 2 +- reference/cubist_multistep_predict_impl.html | 2 +- reference/ensemble_models.html | 16 ++++++++-------- reference/final_models.html | 16 ++++++++-------- reference/forecast_time_series.html | 16 ++++++++-------- reference/get_forecast_data.html | 16 ++++++++-------- reference/get_prepped_data.html | 6 +++--- reference/get_prepped_models.html | 12 ++++++------ reference/get_run_info.html | 4 ++-- reference/get_trained_models.html | 16 ++++++++-------- reference/glmnet_multistep.html | 2 +- reference/glmnet_multistep_fit_impl.html | 2 +- reference/glmnet_multistep_predict_impl.html | 2 +- reference/index.html | 2 +- reference/list_models.html | 2 +- reference/mars_multistep.html | 2 +- reference/mars_multistep_fit_impl.html | 2 +- reference/mars_multistep_predict_impl.html | 2 +- reference/predict.cubist_multistep_fit_impl.html | 2 +- reference/predict.glmnet_multistep_fit_impl.html | 2 +- reference/predict.mars_multistep_fit_impl.html | 2 +- .../predict.svm_poly_multistep_fit_impl.html | 2 +- .../predict.svm_rbf_multistep_fit_impl.html | 2 +- .../predict.xgboost_multistep_fit_impl.html | 2 +- reference/prep_data.html | 6 +++--- reference/prep_models.html | 12 ++++++------ reference/print.cubist_multistep.html | 2 +- reference/print.cubist_multistep_fit_impl.html | 2 +- reference/print.glmnet_multistep.html | 2 +- reference/print.glmnet_multistep_fit_impl.html | 2 +- reference/print.mars_multistep.html | 2 +- reference/print.mars_multistep_fit_impl.html | 2 +- reference/print.svm_poly_multistep.html | 2 +- reference/print.svm_poly_multistep_fit_impl.html | 2 +- reference/print.svm_rbf_multistep.html | 2 +- reference/print.svm_rbf_multistep_fit_impl.html | 2 +- reference/print.xgboost_multistep.html | 2 +- reference/print.xgboost_multistep_fit_impl.html | 2 +- reference/set_run_info.html | 4 ++-- reference/svm_poly_multistep.html | 2 +- reference/svm_poly_multistep_fit_impl.html | 2 +- reference/svm_poly_multistep_predict_impl.html | 2 +- reference/svm_rbf_multistep.html | 2 +- reference/svm_rbf_multistep_fit_impl.html | 2 +- reference/svm_rbf_multistep_predict_impl.html | 2 +- reference/train_models.html | 14 +++++++------- reference/translate.cubist_multistep.html | 2 +- reference/translate.glmnet_multistep.html | 2 +- reference/translate.mars_multistep.html | 2 +- reference/translate.svm_poly_multistep.html | 2 +- reference/translate.svm_rbf_multistep.html | 2 +- reference/translate.xgboost_multistep.html | 2 +- reference/update.cubist_multistep.html | 2 +- reference/update.glmnet_multistep.html | 2 +- reference/update.mars_multistep.html | 2 +- reference/update.svm_poly_multistep.html | 2 +- reference/update.svm_rbf_multistep.html | 2 +- reference/update.xgboost_multistep.html | 2 +- reference/xgboost_multistep.html | 2 +- reference/xgboost_multistep_fit_impl.html | 2 +- reference/xgboost_multistep_predict_impl.html | 2 +- 84 files changed, 153 insertions(+), 153 deletions(-) diff --git a/404.html b/404.html index ebcce9da..181b0d28 100644 --- a/404.html +++ b/404.html @@ -39,7 +39,7 @@ finnts - 0.4.0.9008 + 0.5.0 diff --git a/CODE_OF_CONDUCT.html b/CODE_OF_CONDUCT.html index 5f6381f1..83ab7c18 100644 --- a/CODE_OF_CONDUCT.html +++ b/CODE_OF_CONDUCT.html @@ -23,7 +23,7 @@ finnts - 0.4.0.9008 + 0.5.0 diff --git a/LICENSE-text.html b/LICENSE-text.html index 31a43c5c..b633eaee 100644 --- a/LICENSE-text.html +++ b/LICENSE-text.html @@ -23,7 +23,7 @@ finnts - 0.4.0.9008 + 0.5.0 diff --git a/LICENSE.html b/LICENSE.html index 5c279cf3..4bfa6bb8 100644 --- a/LICENSE.html +++ b/LICENSE.html @@ -23,7 +23,7 @@ finnts - 0.4.0.9008 + 0.5.0 diff --git a/SECURITY.html b/SECURITY.html index ea4cc390..b3857387 100644 --- a/SECURITY.html +++ b/SECURITY.html @@ -23,7 +23,7 @@ finnts - 0.4.0.9008 + 0.5.0 diff --git a/SUPPORT.html b/SUPPORT.html index 0ac3f07e..b936db67 100644 --- a/SUPPORT.html +++ b/SUPPORT.html @@ -23,7 +23,7 @@ finnts - 0.4.0.9008 + 0.5.0 diff --git a/articles/back-testing-and-hyperparameter-tuning.html b/articles/back-testing-and-hyperparameter-tuning.html index 48044795..ec735cc2 100644 --- a/articles/back-testing-and-hyperparameter-tuning.html +++ b/articles/back-testing-and-hyperparameter-tuning.html @@ -38,7 +38,7 @@ finnts - 0.4.0.9008 + 0.5.0 @@ -128,19 +128,19 @@

Back Testing and Hyperparameter Tuning

#> Loading required package: modeltime
 #> Finn Submission Info
 #> • Experiment Name: finnts_fcst
-#> • Run Name: get_prepped_models-20241025T005601Z
+#> • Run Name: get_prepped_models-20241025T225640Z
 #> 
 #> ℹ Prepping Data
-#> ✔ Prepping Data [959ms]
+#> ✔ Prepping Data [999ms]
 #> 
 #> ℹ Creating Model Workflows
-#> ✔ Creating Model Workflows [104ms]
+#> ✔ Creating Model Workflows [109ms]
 #> 
 #> ℹ Creating Model Hyperparameters
-#> ✔ Creating Model Hyperparameters [148ms]
+#> ✔ Creating Model Hyperparameters [155ms]
 #> 
 #> ℹ Creating Train Test Splits
-#> ✔ Creating Train Test Splits [361ms]
+#> ✔ Creating Train Test Splits [364ms]
 #> 
 #> # A tibble: 31 × 4
 #>    Run_Type        Train_Test_ID Train_End  Test_End  
diff --git a/articles/best-model-selection.html b/articles/best-model-selection.html
index 20d1f188..b1dfd480 100644
--- a/articles/best-model-selection.html
+++ b/articles/best-model-selection.html
@@ -38,7 +38,7 @@
       
       
         finnts
-        0.4.0.9008
+        0.5.0
       
     
 
diff --git a/articles/external-regressors.html b/articles/external-regressors.html
index e053b69b..3fec3b02 100644
--- a/articles/external-regressors.html
+++ b/articles/external-regressors.html
@@ -38,7 +38,7 @@
       
       
         finnts
-        0.4.0.9008
+        0.5.0
       
     
 
diff --git a/articles/feature-engineering.html b/articles/feature-engineering.html
index 578febc3..aa81d89d 100644
--- a/articles/feature-engineering.html
+++ b/articles/feature-engineering.html
@@ -38,7 +38,7 @@
       
       
         finnts
-        0.4.0.9008
+        0.5.0
       
     
 
diff --git a/articles/feature-selection.html b/articles/feature-selection.html
index 7f2500e0..fca5d311 100644
--- a/articles/feature-selection.html
+++ b/articles/feature-selection.html
@@ -38,7 +38,7 @@
       
       
         finnts
-        0.4.0.9008
+        0.5.0
       
     
 
diff --git a/articles/finnts.html b/articles/finnts.html
index 9553f027..d0490c47 100644
--- a/articles/finnts.html
+++ b/articles/finnts.html
@@ -38,7 +38,7 @@
       
       
         finnts
-        0.4.0.9008
+        0.5.0
       
     
 
diff --git a/articles/forecast-components.html b/articles/forecast-components.html
index 5a3d3405..3556ba81 100644
--- a/articles/forecast-components.html
+++ b/articles/forecast-components.html
@@ -38,7 +38,7 @@
       
       
         finnts
-        0.4.0.9008
+        0.5.0
       
     
 
diff --git a/articles/hierarchical-forecasting.html b/articles/hierarchical-forecasting.html
index ebd976d8..ff1649d3 100644
--- a/articles/hierarchical-forecasting.html
+++ b/articles/hierarchical-forecasting.html
@@ -38,7 +38,7 @@
       
       
         finnts
-        0.4.0.9008
+        0.5.0
       
     
 
diff --git a/articles/index.html b/articles/index.html
index 0c2de624..01518c31 100644
--- a/articles/index.html
+++ b/articles/index.html
@@ -23,7 +23,7 @@
       
       
         finnts
-        0.4.0.9008
+        0.5.0
       
     
 
diff --git a/articles/models-used-in-finnts.html b/articles/models-used-in-finnts.html
index 6629def2..af83fa7c 100644
--- a/articles/models-used-in-finnts.html
+++ b/articles/models-used-in-finnts.html
@@ -38,7 +38,7 @@
       
       
         finnts
-        0.4.0.9008
+        0.5.0
       
     
 
@@ -159,7 +159,7 @@ 
Multistep Horizon Modelssvm-rbf
 
  • xgboost
    • 
 
-
    A multistep model optimizes for each period in a forecast horizon. Let’s take an example of a monthly data set with a forecast horizon of 3. When creating the features for the R1 recipe, finnts will create lags of 1, 2, 3, 6, 9, 12 months. Then when training a mulitstep model it will iteratively use specific features to train the model. First it will train a model on the first forecast horizon (H1), where it will use all available feature lags. Then for H2 it will use lags of 2 or more. Finally for H3 it will use lags of 3 or more. So the final model is actually a collection of multiple models that each trained on a specific horizon. This lets the model optimize for using all available data when creating the forecast. So in our example, one glmnet model actually has three separate horizon specific models under the hood.
    
+
    A multistep model optimizes for each period in a forecast horizon. Let’s take an example of a monthly data set with a forecast horizon of 3. When creating the features for the R1 recipe, finnts will create lags of 1, 2, 3, 6, 9, 12 months. Then when training a multistep model it will iteratively use specific features to train the model. First it will train a model on the first forecast horizon (H1), where it will use all available feature lags. Then for H2 it will use lags of 2 or more. Finally for H3 it will use lags of 3 or more. So the final model is actually a collection of multiple models that each trained on a specific horizon. This lets the model optimize for using all available data when creating the forecast. So in our example, one glmnet model actually has three separate horizon specific models under the hood.
    
 
    A few more things to mention. If multistep_horizon is TRUE then other multivariate models like arima-boost or prophet-xregs will not run a multistep horizon approach. Instead they will use lags that are equal to or greater than the forecast horizon. One set of hyperparameters will be chosen for each multistep model, meaning glmnet will only use one combination of final hyperparameters and apply it to each horizon model. Multistep models are not ran for the R2 recipe, since it has it’s own way of dealing with multiple horizons. Finally if feature_selection is turned on, it will be ran for each horizon specific model, meaning for a 3 month forecast horizon the feature selection process will be ran 3 times. One for each combination of features tied to a specific horizon.
    
 
 
    
diff --git a/articles/parallel-processing.html b/articles/parallel-processing.html
index 617fb954..430a506f 100644
--- a/articles/parallel-processing.html
+++ b/articles/parallel-processing.html
@@ -38,7 +38,7 @@
       
       
         finnts
-        0.4.0.9008
+        0.5.0
       
     
    
 
@@ -133,7 +133,7 @@ 
    Local MachineWithin Azure using Spark
 
    
 
    To leverage the full power of Finn, running within Azure is the best choice in building production ready forecasts that can easily scale. The most efficient way to run Finn is to set parallel_processing to “spark” within forecast_time_series(). This will run each time series in parallel across a spark compute cluster.
    
-
    Sparklyr is a great R package that allows you to run R code across a spark cluster. A user simply has to connect to a spark cluster then run Finn. Below is an example on how you can run Finn using spark on Azure Databricks. Also check out the growing R support with using spark on Azure Synapse.
    
+
    Sparklyr is a great R package that allows you to run R code across a spark cluster. A user simply has to connect to a spark cluster then run Finn. Below is an example on how you can run Finn using spark on Azure Databricks. Also check out the growing R support with using spark on Azure Synapse.
    
 
     # load CRAN libraries
 library(finnts)
@@ -177,7 +177,7 @@ 
    Within Azure using Spark  run_info = run_info,
   return_type = "sdf"
 )
    
-
    The above example runs each time series on a separate core on a spark cluster. You can also submit multiple time series where each time series runs on a separate spark executor (VM) and then leverage all of the cores on that executor to run things like hyperparameter tuning or model refitting in parallel. This creates two levels of parallelization. One at the time series level, then another when doing things like hyperparameter tuning within a specific time series. To do that set inner_parallel to TRUE in forecast_time_series(). Also make sure that you adjust the number of spark executor cores to 1, that ensures that only 1 time series runs on an executor at a time. Leverage the “spark.executor.cores” argument when configuring your spark connection. This can be done using sparklyr or within the cluster manager itself within the Azure resource. Use the “num_cores” argument in the “forecast_time_series” function to control how many cores should be used within an executor when running things like hyperparameter tuning.
    
+
    The above example runs each time series on a separate core on a spark cluster. You can also submit multiple time series where each time series runs on a separate spark executor (VM) and then leverage all of the cores on that executor to run things like hyperparameter tuning or model refitting in parallel. This creates two levels of parallelization. One at the time series level, then another when doing things like hyperparameter tuning within a specific time series. To do that set inner_parallel to TRUE in forecast_time_series(). Also make sure that you adjust the number of spark executor cores to 1, that ensures that only 1 time series runs on an executor at a time. Leverage the “spark.executor.cores” argument when configuring your spark connection. This can be done using sparklyr or within the cluster manager itself within the Azure resource. Use the “num_cores” argument in the “forecast_time_series” function to control how many cores should be used within an executor when running things like hyperparameter tuning.
    
 
    forecast_time_series() will be looking for a variable called “sc” to use when submitting tasks to the spark cluster, so make sure you use that as the variable name when connecting to spark. Also it’s important that you mount your spark session to an Azure Data Lake Storage (ADLS) account, and provide the mounted path to where you’d like your Finn results to be written to within set_run_info().
    
 
   
diff --git a/articles/tips-for-production.html b/articles/tips-for-production.html
index c77a46e6..249a05b5 100644
--- a/articles/tips-for-production.html
+++ b/articles/tips-for-production.html
@@ -38,7 +38,7 @@
       
       
         finnts
-        0.4.0.9008
+        0.5.0
       
     
 
diff --git a/authors.html b/authors.html
index c065cb96..810db30c 100644
--- a/authors.html
+++ b/authors.html
@@ -23,7 +23,7 @@
       
       
         finnts
-        0.4.0.9008
+        0.5.0
       
     
 
diff --git a/index.html b/index.html
index b482a0df..caceb6fb 100644
--- a/index.html
+++ b/index.html
@@ -40,7 +40,7 @@
       
       
         finnts
-        0.4.0.9008
+        0.5.0
       
     
 
diff --git a/news/index.html b/news/index.html
index e37fab1c..d110629b 100644
--- a/news/index.html
+++ b/news/index.html
@@ -23,7 +23,7 @@
       
       
         finnts
-        0.4.0.9008
+        0.5.0
       
     
 
@@ -94,9 +94,9 @@ 
    Changelog 
    
     
 
     
    
-
    finnts 0.4.0.9008 (DEVELOPMENT VERSION)
    
+
    finnts 0.5.02024-10-25
    
 
    
-
    Improvements
    
+
    Improvements
    
 
    • Added support for hierarchical forecasting with external regressors
      • 
 
    • Allow global models for hierarchical forecasts
      • 
 
    • Multistep horizon forecasts for R1 recipe, listed as multistep_horizon within prep_data()
@@ -108,12 +108,12 @@ 
      Improvements
-
      Bug Fixes
      
+
      Bug Fixes
      
 
      • Error in run_type column join in final forecast output
        • 
 
      • Error in running feature selection
        • 
 
    
 
    
-
    Breaking Changes
    
+
    Breaking Changes
    
 
    • Minimum R version now set to R 4.0 to comply with package dependency minimum version for tune
    
 
    
     
    
diff --git a/pkgdown.yml b/pkgdown.yml
index 597fe16e..af408804 100644
--- a/pkgdown.yml
+++ b/pkgdown.yml
@@ -13,7 +13,7 @@ articles:
   models-used-in-finnts: models-used-in-finnts.html
   parallel-processing: parallel-processing.html
   tips-for-production: tips-for-production.html
-last_built: 2024-10-25T00:53Z
+last_built: 2024-10-25T22:54Z
 urls:
   reference: https://microsoft.github.io/finnts/reference
   article: https://microsoft.github.io/finnts/articles
diff --git a/reference/cubist_multistep.html b/reference/cubist_multistep.html
index ebb4718f..e1d18947 100644
--- a/reference/cubist_multistep.html
+++ b/reference/cubist_multistep.html
@@ -23,7 +23,7 @@
       
       
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-        0.4.0.9008
+        0.5.0
       
     
    
 
diff --git a/reference/cubist_multistep_fit_impl.html b/reference/cubist_multistep_fit_impl.html
index 870fd4b6..6d37bca1 100644
--- a/reference/cubist_multistep_fit_impl.html
+++ b/reference/cubist_multistep_fit_impl.html
@@ -23,7 +23,7 @@
       
       
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-        0.4.0.9008
+        0.5.0
       
     
 
diff --git a/reference/cubist_multistep_predict_impl.html b/reference/cubist_multistep_predict_impl.html
index aff22d50..dab19f67 100644
--- a/reference/cubist_multistep_predict_impl.html
+++ b/reference/cubist_multistep_predict_impl.html
@@ -23,7 +23,7 @@
       
       
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-        0.4.0.9008
+        0.5.0
       
     
 
diff --git a/reference/ensemble_models.html b/reference/ensemble_models.html
index c0824440..5221f884 100644
--- a/reference/ensemble_models.html
+++ b/reference/ensemble_models.html
@@ -23,7 +23,7 @@
       
       
         finnts
-        0.4.0.9008
+        0.5.0
       
     
 
@@ -161,7 +161,7 @@ 
    Examples
    
 run_info <- set_run_info()
 #> Finn Submission Info
 #> • Experiment Name: finn_fcst
-#> • Run Name: finn_fcst-20241025T005338Z
+#> • Run Name: finn_fcst-20241025T225411Z
 #> 
 
 prep_data(run_info,
@@ -172,7 +172,7 @@ 
    Examples
    
   forecast_horizon = 3
 )
 #> ℹ Prepping Data
-#> ✔ Prepping Data [1.4s]
+#> ✔ Prepping Data [1.5s]
 #> 
 
 prep_models(run_info,
@@ -180,25 +180,25 @@ 
    Examples
    
   num_hyperparameters = 2
 )
 #> ℹ Creating Model Workflows
-#> ✔ Creating Model Workflows [199ms]
+#> ✔ Creating Model Workflows [211ms]
 #> 
 #> ℹ Creating Model Hyperparameters
-#> ✔ Creating Model Hyperparameters [197ms]
+#> ✔ Creating Model Hyperparameters [204ms]
 #> 
 #> ℹ Creating Train Test Splits
-#> ✔ Creating Train Test Splits [286ms]
+#> ✔ Creating Train Test Splits [295ms]
 #> 
 
 train_models(run_info,
   run_global_models = FALSE
 )
 #> ℹ Training Individual Models
-#> ✔ Training Individual Models [10.5s]
+#> ✔ Training Individual Models [11.3s]
 #> 
 
 ensemble_models(run_info)
 #> ℹ Training Ensemble Models
-#> ✔ Training Ensemble Models [1.6s]
+#> ✔ Training Ensemble Models [1.7s]
 #> 
 # }
    diff --git a/reference/final_models.html b/reference/final_models.html index 83fd62ce..21129e00 100644 --- a/reference/final_models.html +++ b/reference/final_models.html @@ -23,7 +23,7 @@ finnts - 0.4.0.9008 + 0.5.0 @@ -175,7 +175,7 @@

    Examples

    run_info <- set_run_info() #> Finn Submission Info #> • Experiment Name: finn_fcst -#> • Run Name: finn_fcst-20241025T005352Z +#> • Run Name: finn_fcst-20241025T225427Z #> prep_data(run_info, @@ -186,7 +186,7 @@

    Examples

    forecast_horizon = 3 ) #> ℹ Prepping Data -#> ✔ Prepping Data [3.2s] +#> ✔ Prepping Data [3.3s] #> prep_models(run_info, @@ -194,27 +194,27 @@

    Examples

    back_test_scenarios = 3 ) #> ℹ Creating Model Workflows -#> ✔ Creating Model Workflows [150ms] +#> ✔ Creating Model Workflows [155ms] #> #> ℹ Creating Model Hyperparameters -#> ✔ Creating Model Hyperparameters [135ms] +#> ✔ Creating Model Hyperparameters [142ms] #> #> ℹ Creating Train Test Splits #> ℹ Turning ensemble models off since no multivariate models were chosen to run. #> ℹ Creating Train Test Splits -#> ✔ Creating Train Test Splits [280ms] +#> ✔ Creating Train Test Splits [289ms] #> train_models(run_info, run_global_models = FALSE ) #> ℹ Training Individual Models -#> ✔ Training Individual Models [21.7s] +#> ✔ Training Individual Models [22.2s] #> final_models(run_info) #> ℹ Selecting Best Models -#> ✔ Selecting Best Models [673ms] +#> ✔ Selecting Best Models [708ms] #> # } diff --git a/reference/forecast_time_series.html b/reference/forecast_time_series.html index 5d8b50eb..9583bdfe 100644 --- a/reference/forecast_time_series.html +++ b/reference/forecast_time_series.html @@ -23,7 +23,7 @@ finnts - 0.4.0.9008 + 0.5.0 @@ -357,7 +357,7 @@

    Examples

    run_info <- set_run_info() #> Finn Submission Info #> • Experiment Name: finn_fcst -#> • Run Name: finn_fcst-20241025T005419Z +#> • Run Name: finn_fcst-20241025T225454Z #> finn_forecast <- forecast_time_series( @@ -376,28 +376,28 @@

    Examples

    #> ✔ Prepping Data [1.4s] #> #> ℹ Creating Model Workflows -#> ✔ Creating Model Workflows [268ms] +#> ✔ Creating Model Workflows [276ms] #> #> ℹ Creating Model Hyperparameters -#> ✔ Creating Model Hyperparameters [438ms] +#> ✔ Creating Model Hyperparameters [446ms] #> #> ℹ Creating Train Test Splits #> ℹ Turning ensemble models off since no multivariate models were chosen to run. #> ℹ Creating Train Test Splits -#> ✔ Creating Train Test Splits [3.6s] +#> ✔ Creating Train Test Splits [3.7s] #> #> ℹ Training Individual Models #> ℹ Turning global models off since no multivariate models were chosen to run. #> ℹ Training Individual Models -#> ✔ Training Individual Models [12.4s] +#> ✔ Training Individual Models [12.6s] #> #> ℹ Training Ensemble Models #> ℹ Ensemble models have been turned off. #> ℹ Training Ensemble Models -#> ✔ Training Ensemble Models [22ms] +#> ✔ Training Ensemble Models [23ms] #> #> ℹ Selecting Best Models -#> ✔ Selecting Best Models [346ms] +#> ✔ Selecting Best Models [362ms] #> fcst_tbl <- get_forecast_data(run_info) diff --git a/reference/get_forecast_data.html b/reference/get_forecast_data.html index d1ead028..ad8834b5 100644 --- a/reference/get_forecast_data.html +++ b/reference/get_forecast_data.html @@ -23,7 +23,7 @@ finnts - 0.4.0.9008 + 0.5.0 @@ -134,7 +134,7 @@

    Examples

    run_info <- set_run_info() #> Finn Submission Info #> • Experiment Name: finn_fcst -#> • Run Name: finn_fcst-20241025T005437Z +#> • Run Name: finn_fcst-20241025T225513Z #> prep_data(run_info, @@ -146,7 +146,7 @@

    Examples

    recipes_to_run = "R1" ) #> ℹ Prepping Data -#> ✔ Prepping Data [386ms] +#> ✔ Prepping Data [403ms] #> prep_models(run_info, @@ -154,29 +154,29 @@

    Examples

    num_hyperparameters = 1 ) #> ℹ Creating Model Workflows -#> ✔ Creating Model Workflows [91ms] +#> ✔ Creating Model Workflows [97ms] #> #> ℹ Creating Model Hyperparameters -#> ✔ Creating Model Hyperparameters [97ms] +#> ✔ Creating Model Hyperparameters [104ms] #> #> ℹ Creating Train Test Splits #> ℹ Turning ensemble models off since no multivariate models were chosen to run. #> ℹ Creating Train Test Splits -#> ✔ Creating Train Test Splits [373ms] +#> ✔ Creating Train Test Splits [384ms] #> train_models(run_info, run_local_models = TRUE ) #> ℹ Training Individual Models -#> ✔ Training Individual Models [14.2s] +#> ✔ Training Individual Models [14.4s] #> final_models(run_info, average_models = FALSE ) #> ℹ Selecting Best Models -#> ✔ Selecting Best Models [280ms] +#> ✔ Selecting Best Models [289ms] #> fcst_tbl <- get_forecast_data(run_info) diff --git a/reference/get_prepped_data.html b/reference/get_prepped_data.html index 68dd1f5c..e80a3a12 100644 --- a/reference/get_prepped_data.html +++ b/reference/get_prepped_data.html @@ -23,7 +23,7 @@ finnts - 0.4.0.9008 + 0.5.0 @@ -138,7 +138,7 @@

    Examples

    run_info <- set_run_info() #> Finn Submission Info #> • Experiment Name: finn_fcst -#> • Run Name: finn_fcst-20241025T005453Z +#> • Run Name: finn_fcst-20241025T225529Z #> prep_data(run_info, @@ -150,7 +150,7 @@

    Examples

    recipes_to_run = "R1" ) #> ℹ Prepping Data -#> ✔ Prepping Data [390ms] +#> ✔ Prepping Data [423ms] #> R1_prepped_data_tbl <- get_prepped_data(run_info, diff --git a/reference/get_prepped_models.html b/reference/get_prepped_models.html index cc597cd2..fd2ec4e6 100644 --- a/reference/get_prepped_models.html +++ b/reference/get_prepped_models.html @@ -23,7 +23,7 @@ finnts - 0.4.0.9008 + 0.5.0 @@ -130,7 +130,7 @@

    Examples

    run_info <- set_run_info() #> Finn Submission Info #> • Experiment Name: finn_fcst -#> • Run Name: finn_fcst-20241025T005454Z +#> • Run Name: finn_fcst-20241025T225530Z #> prep_data(run_info, @@ -142,7 +142,7 @@

    Examples

    recipes_to_run = "R1" ) #> ℹ Prepping Data -#> ✔ Prepping Data [400ms] +#> ✔ Prepping Data [426ms] #> prep_models(run_info, @@ -150,15 +150,15 @@

    Examples

    num_hyperparameters = 1 ) #> ℹ Creating Model Workflows -#> ✔ Creating Model Workflows [92ms] +#> ✔ Creating Model Workflows [95ms] #> #> ℹ Creating Model Hyperparameters -#> ✔ Creating Model Hyperparameters [89ms] +#> ✔ Creating Model Hyperparameters [93ms] #> #> ℹ Creating Train Test Splits #> ℹ Turning ensemble models off since no multivariate models were chosen to run. #> ℹ Creating Train Test Splits -#> ✔ Creating Train Test Splits [381ms] +#> ✔ Creating Train Test Splits [385ms] #> prepped_models_tbl <- get_prepped_models(run_info = run_info) diff --git a/reference/get_run_info.html b/reference/get_run_info.html index 59f4172c..4dadc7de 100644 --- a/reference/get_run_info.html +++ b/reference/get_run_info.html @@ -23,7 +23,7 @@ finnts - 0.4.0.9008 + 0.5.0 @@ -151,7 +151,7 @@

    Examples

    ) #> Finn Submission Info #> • Experiment Name: finn_forecast -#> • Run Name: test_run-20241025T005455Z +#> • Run Name: test_run-20241025T225531Z #> run_info_tbl <- get_run_info( diff --git a/reference/get_trained_models.html b/reference/get_trained_models.html index ab7f80f3..a1e77718 100644 --- a/reference/get_trained_models.html +++ b/reference/get_trained_models.html @@ -23,7 +23,7 @@ finnts - 0.4.0.9008 + 0.5.0 @@ -130,7 +130,7 @@

    Examples

    run_info <- set_run_info() #> Finn Submission Info #> • Experiment Name: finn_fcst -#> • Run Name: finn_fcst-20241025T005455Z +#> • Run Name: finn_fcst-20241025T225531Z #> prep_data(run_info, @@ -142,7 +142,7 @@

    Examples

    recipes_to_run = "R1" ) #> ℹ Prepping Data -#> ✔ Prepping Data [388ms] +#> ✔ Prepping Data [408ms] #> prep_models(run_info, @@ -150,15 +150,15 @@

    Examples

    num_hyperparameters = 1 ) #> ℹ Creating Model Workflows -#> ✔ Creating Model Workflows [91ms] +#> ✔ Creating Model Workflows [97ms] #> #> ℹ Creating Model Hyperparameters -#> ✔ Creating Model Hyperparameters [88ms] +#> ✔ Creating Model Hyperparameters [109ms] #> #> ℹ Creating Train Test Splits #> ℹ Turning ensemble models off since no multivariate models were chosen to run. #> ℹ Creating Train Test Splits -#> ✔ Creating Train Test Splits [383ms] +#> ✔ Creating Train Test Splits [388ms] #> train_models(run_info, @@ -166,14 +166,14 @@

    Examples

    run_local_models = TRUE ) #> ℹ Training Individual Models -#> ✔ Training Individual Models [14.1s] +#> ✔ Training Individual Models [14.4s] #> final_models(run_info, average_models = FALSE ) #> ℹ Selecting Best Models -#> ✔ Selecting Best Models [270ms] +#> ✔ Selecting Best Models [279ms] #> models_tbl <- get_trained_models(run_info) diff --git a/reference/glmnet_multistep.html b/reference/glmnet_multistep.html index 7d9638b4..e15ad956 100644 --- a/reference/glmnet_multistep.html +++ b/reference/glmnet_multistep.html @@ -23,7 +23,7 @@ finnts - 0.4.0.9008 + 0.5.0 diff --git a/reference/glmnet_multistep_fit_impl.html b/reference/glmnet_multistep_fit_impl.html index 23d081c4..44b80c99 100644 --- a/reference/glmnet_multistep_fit_impl.html +++ b/reference/glmnet_multistep_fit_impl.html @@ -23,7 +23,7 @@ finnts - 0.4.0.9008 + 0.5.0 diff --git a/reference/glmnet_multistep_predict_impl.html b/reference/glmnet_multistep_predict_impl.html index e8561a30..cb52b49d 100644 --- a/reference/glmnet_multistep_predict_impl.html +++ b/reference/glmnet_multistep_predict_impl.html @@ -23,7 +23,7 @@ finnts - 0.4.0.9008 + 0.5.0 diff --git a/reference/index.html b/reference/index.html index 0bfcd8a1..85a45360 100644 --- a/reference/index.html +++ b/reference/index.html @@ -23,7 +23,7 @@ finnts - 0.4.0.9008 + 0.5.0 diff --git a/reference/list_models.html b/reference/list_models.html index c54c71c6..57e36b18 100644 --- a/reference/list_models.html +++ b/reference/list_models.html @@ -23,7 +23,7 @@ finnts - 0.4.0.9008 + 0.5.0 diff --git a/reference/mars_multistep.html b/reference/mars_multistep.html index f219b354..3bccc5c4 100644 --- a/reference/mars_multistep.html +++ b/reference/mars_multistep.html @@ -23,7 +23,7 @@ finnts - 0.4.0.9008 + 0.5.0 diff --git a/reference/mars_multistep_fit_impl.html b/reference/mars_multistep_fit_impl.html index 29e0ef33..7ae4620d 100644 --- a/reference/mars_multistep_fit_impl.html +++ b/reference/mars_multistep_fit_impl.html @@ -23,7 +23,7 @@ finnts - 0.4.0.9008 + 0.5.0 diff --git a/reference/mars_multistep_predict_impl.html b/reference/mars_multistep_predict_impl.html index b375e954..04fb9fef 100644 --- a/reference/mars_multistep_predict_impl.html +++ b/reference/mars_multistep_predict_impl.html @@ -23,7 +23,7 @@ finnts - 0.4.0.9008 + 0.5.0 diff --git a/reference/predict.cubist_multistep_fit_impl.html b/reference/predict.cubist_multistep_fit_impl.html index d6df2368..a5868841 100644 --- a/reference/predict.cubist_multistep_fit_impl.html +++ b/reference/predict.cubist_multistep_fit_impl.html @@ -23,7 +23,7 @@ finnts - 0.4.0.9008 + 0.5.0 diff --git a/reference/predict.glmnet_multistep_fit_impl.html b/reference/predict.glmnet_multistep_fit_impl.html index 7b26f6d2..9ccd4322 100644 --- a/reference/predict.glmnet_multistep_fit_impl.html +++ b/reference/predict.glmnet_multistep_fit_impl.html @@ -23,7 +23,7 @@ finnts - 0.4.0.9008 + 0.5.0 diff --git a/reference/predict.mars_multistep_fit_impl.html b/reference/predict.mars_multistep_fit_impl.html index 2fd53efe..eeb550a2 100644 --- a/reference/predict.mars_multistep_fit_impl.html +++ b/reference/predict.mars_multistep_fit_impl.html @@ -23,7 +23,7 @@ finnts - 0.4.0.9008 + 0.5.0 diff --git a/reference/predict.svm_poly_multistep_fit_impl.html b/reference/predict.svm_poly_multistep_fit_impl.html index 537b0a33..5891b72a 100644 --- a/reference/predict.svm_poly_multistep_fit_impl.html +++ b/reference/predict.svm_poly_multistep_fit_impl.html @@ -23,7 +23,7 @@ finnts - 0.4.0.9008 + 0.5.0 diff --git a/reference/predict.svm_rbf_multistep_fit_impl.html b/reference/predict.svm_rbf_multistep_fit_impl.html index 2ec243d6..ae1927a3 100644 --- a/reference/predict.svm_rbf_multistep_fit_impl.html +++ b/reference/predict.svm_rbf_multistep_fit_impl.html @@ -23,7 +23,7 @@ finnts - 0.4.0.9008 + 0.5.0 diff --git a/reference/predict.xgboost_multistep_fit_impl.html b/reference/predict.xgboost_multistep_fit_impl.html index 0007d378..3333f92b 100644 --- a/reference/predict.xgboost_multistep_fit_impl.html +++ b/reference/predict.xgboost_multistep_fit_impl.html @@ -23,7 +23,7 @@ finnts - 0.4.0.9008 + 0.5.0 diff --git a/reference/prep_data.html b/reference/prep_data.html index 191a65a4..ac89f18a 100644 --- a/reference/prep_data.html +++ b/reference/prep_data.html @@ -23,7 +23,7 @@ finnts - 0.4.0.9008 + 0.5.0 @@ -266,7 +266,7 @@

    Examples

    run_info <- set_run_info() #> Finn Submission Info #> • Experiment Name: finn_fcst -#> • Run Name: finn_fcst-20241025T005513Z +#> • Run Name: finn_fcst-20241025T225549Z #> prep_data(run_info, @@ -278,7 +278,7 @@

    Examples

    recipes_to_run = "R1" ) #> ℹ Prepping Data -#> ✔ Prepping Data [1.2s] +#> ✔ Prepping Data [1.3s] #> # } diff --git a/reference/prep_models.html b/reference/prep_models.html index 462654ba..d877f491 100644 --- a/reference/prep_models.html +++ b/reference/prep_models.html @@ -24,7 +24,7 @@ finnts - 0.4.0.9008 + 0.5.0 @@ -183,7 +183,7 @@

    Examples

    run_info <- set_run_info() #> Finn Submission Info #> • Experiment Name: finn_fcst -#> • Run Name: finn_fcst-20241025T005514Z +#> • Run Name: finn_fcst-20241025T225550Z #> prep_data(run_info, @@ -194,20 +194,20 @@

    Examples

    forecast_horizon = 3 ) #> ℹ Prepping Data -#> ✔ Prepping Data [3.2s] +#> ✔ Prepping Data [3.3s] #> prep_models(run_info, models_to_run = c("arima", "ets", "glmnet") ) #> ℹ Creating Model Workflows -#> ✔ Creating Model Workflows [236ms] +#> ✔ Creating Model Workflows [251ms] #> #> ℹ Creating Model Hyperparameters -#> ✔ Creating Model Hyperparameters [264ms] +#> ✔ Creating Model Hyperparameters [276ms] #> #> ℹ Creating Train Test Splits -#> ✔ Creating Train Test Splits [389ms] +#> ✔ Creating Train Test Splits [412ms] #> # } diff --git a/reference/print.cubist_multistep.html b/reference/print.cubist_multistep.html index a4dd03c6..7358ede9 100644 --- a/reference/print.cubist_multistep.html +++ b/reference/print.cubist_multistep.html @@ -23,7 +23,7 @@ finnts - 0.4.0.9008 + 0.5.0 diff --git a/reference/print.cubist_multistep_fit_impl.html b/reference/print.cubist_multistep_fit_impl.html index fb83f213..50a22cd7 100644 --- a/reference/print.cubist_multistep_fit_impl.html +++ b/reference/print.cubist_multistep_fit_impl.html @@ -23,7 +23,7 @@ finnts - 0.4.0.9008 + 0.5.0 diff --git a/reference/print.glmnet_multistep.html b/reference/print.glmnet_multistep.html index bc2fbf72..9b1c1d66 100644 --- a/reference/print.glmnet_multistep.html +++ b/reference/print.glmnet_multistep.html @@ -23,7 +23,7 @@ finnts - 0.4.0.9008 + 0.5.0 diff --git a/reference/print.glmnet_multistep_fit_impl.html b/reference/print.glmnet_multistep_fit_impl.html index 39012f77..a0617916 100644 --- a/reference/print.glmnet_multistep_fit_impl.html +++ b/reference/print.glmnet_multistep_fit_impl.html @@ -23,7 +23,7 @@ finnts - 0.4.0.9008 + 0.5.0 diff --git a/reference/print.mars_multistep.html b/reference/print.mars_multistep.html index 00741f03..89d7cf63 100644 --- a/reference/print.mars_multistep.html +++ b/reference/print.mars_multistep.html @@ -23,7 +23,7 @@ finnts - 0.4.0.9008 + 0.5.0 diff --git a/reference/print.mars_multistep_fit_impl.html b/reference/print.mars_multistep_fit_impl.html index 6448771b..718ee78b 100644 --- a/reference/print.mars_multistep_fit_impl.html +++ b/reference/print.mars_multistep_fit_impl.html @@ -23,7 +23,7 @@ finnts - 0.4.0.9008 + 0.5.0 diff --git a/reference/print.svm_poly_multistep.html b/reference/print.svm_poly_multistep.html index 769ab91a..ca260c08 100644 --- a/reference/print.svm_poly_multistep.html +++ b/reference/print.svm_poly_multistep.html @@ -23,7 +23,7 @@ finnts - 0.4.0.9008 + 0.5.0 diff --git a/reference/print.svm_poly_multistep_fit_impl.html b/reference/print.svm_poly_multistep_fit_impl.html index ddf847e0..3c5385a4 100644 --- a/reference/print.svm_poly_multistep_fit_impl.html +++ b/reference/print.svm_poly_multistep_fit_impl.html @@ -23,7 +23,7 @@ finnts - 0.4.0.9008 + 0.5.0 diff --git a/reference/print.svm_rbf_multistep.html b/reference/print.svm_rbf_multistep.html index 37d5cdbd..1256892d 100644 --- a/reference/print.svm_rbf_multistep.html +++ b/reference/print.svm_rbf_multistep.html @@ -23,7 +23,7 @@ finnts - 0.4.0.9008 + 0.5.0 diff --git a/reference/print.svm_rbf_multistep_fit_impl.html b/reference/print.svm_rbf_multistep_fit_impl.html index 9ba4f134..ea616191 100644 --- a/reference/print.svm_rbf_multistep_fit_impl.html +++ b/reference/print.svm_rbf_multistep_fit_impl.html @@ -23,7 +23,7 @@ finnts - 0.4.0.9008 + 0.5.0 diff --git a/reference/print.xgboost_multistep.html b/reference/print.xgboost_multistep.html index 22657f14..dd350ac9 100644 --- a/reference/print.xgboost_multistep.html +++ b/reference/print.xgboost_multistep.html @@ -23,7 +23,7 @@ finnts - 0.4.0.9008 + 0.5.0 diff --git a/reference/print.xgboost_multistep_fit_impl.html b/reference/print.xgboost_multistep_fit_impl.html index 66270052..dcd99262 100644 --- a/reference/print.xgboost_multistep_fit_impl.html +++ b/reference/print.xgboost_multistep_fit_impl.html @@ -23,7 +23,7 @@ finnts - 0.4.0.9008 + 0.5.0 diff --git a/reference/set_run_info.html b/reference/set_run_info.html index a56920aa..04142655 100644 --- a/reference/set_run_info.html +++ b/reference/set_run_info.html @@ -24,7 +24,7 @@ finnts - 0.4.0.9008 + 0.5.0 @@ -175,7 +175,7 @@

    Examples

    ) #> Finn Submission Info #> • Experiment Name: test_exp -#> • Run Name: test_run_1-20241025T005520Z +#> • Run Name: test_run_1-20241025T225557Z #> # } diff --git a/reference/svm_poly_multistep.html b/reference/svm_poly_multistep.html index 6cd125c5..2ae9932e 100644 --- a/reference/svm_poly_multistep.html +++ b/reference/svm_poly_multistep.html @@ -23,7 +23,7 @@ finnts - 0.4.0.9008 + 0.5.0 diff --git a/reference/svm_poly_multistep_fit_impl.html b/reference/svm_poly_multistep_fit_impl.html index 41edfe6b..5ba80b15 100644 --- a/reference/svm_poly_multistep_fit_impl.html +++ b/reference/svm_poly_multistep_fit_impl.html @@ -23,7 +23,7 @@ finnts - 0.4.0.9008 + 0.5.0 diff --git a/reference/svm_poly_multistep_predict_impl.html b/reference/svm_poly_multistep_predict_impl.html index 01dd21e9..b99139d7 100644 --- a/reference/svm_poly_multistep_predict_impl.html +++ b/reference/svm_poly_multistep_predict_impl.html @@ -23,7 +23,7 @@ finnts - 0.4.0.9008 + 0.5.0 diff --git a/reference/svm_rbf_multistep.html b/reference/svm_rbf_multistep.html index ed1f5ced..31abb3dc 100644 --- a/reference/svm_rbf_multistep.html +++ b/reference/svm_rbf_multistep.html @@ -23,7 +23,7 @@ finnts - 0.4.0.9008 + 0.5.0 diff --git a/reference/svm_rbf_multistep_fit_impl.html b/reference/svm_rbf_multistep_fit_impl.html index a6837a84..3d5419bf 100644 --- a/reference/svm_rbf_multistep_fit_impl.html +++ b/reference/svm_rbf_multistep_fit_impl.html @@ -23,7 +23,7 @@ finnts - 0.4.0.9008 + 0.5.0 diff --git a/reference/svm_rbf_multistep_predict_impl.html b/reference/svm_rbf_multistep_predict_impl.html index f2c6ee80..2de51493 100644 --- a/reference/svm_rbf_multistep_predict_impl.html +++ b/reference/svm_rbf_multistep_predict_impl.html @@ -23,7 +23,7 @@ finnts - 0.4.0.9008 + 0.5.0 diff --git a/reference/train_models.html b/reference/train_models.html index 2614242b..304606e3 100644 --- a/reference/train_models.html +++ b/reference/train_models.html @@ -23,7 +23,7 @@ finnts - 0.4.0.9008 + 0.5.0 @@ -189,7 +189,7 @@

    Examples

    run_info <- set_run_info() #> Finn Submission Info #> • Experiment Name: finn_fcst -#> • Run Name: finn_fcst-20241025T005521Z +#> • Run Name: finn_fcst-20241025T225558Z #> prep_data(run_info, @@ -200,7 +200,7 @@

    Examples

    forecast_horizon = 3 ) #> ℹ Prepping Data -#> ✔ Prepping Data [3.1s] +#> ✔ Prepping Data [3.3s] #> prep_models(run_info, @@ -210,18 +210,18 @@

    Examples

    run_ensemble_models = FALSE ) #> ℹ Creating Model Workflows -#> ✔ Creating Model Workflows [203ms] +#> ✔ Creating Model Workflows [220ms] #> #> ℹ Creating Model Hyperparameters -#> ✔ Creating Model Hyperparameters [203ms] +#> ✔ Creating Model Hyperparameters [221ms] #> #> ℹ Creating Train Test Splits -#> ✔ Creating Train Test Splits [292ms] +#> ✔ Creating Train Test Splits [312ms] #> train_models(run_info) #> ℹ Training Individual Models -#> ✔ Training Individual Models [29.7s] +#> ✔ Training Individual Models [31s] #> # } diff --git a/reference/translate.cubist_multistep.html b/reference/translate.cubist_multistep.html index 21218843..226a62f1 100644 --- a/reference/translate.cubist_multistep.html +++ b/reference/translate.cubist_multistep.html @@ -23,7 +23,7 @@ finnts - 0.4.0.9008 + 0.5.0 diff --git a/reference/translate.glmnet_multistep.html b/reference/translate.glmnet_multistep.html index 7393c38c..0bbde425 100644 --- a/reference/translate.glmnet_multistep.html +++ b/reference/translate.glmnet_multistep.html @@ -23,7 +23,7 @@ finnts - 0.4.0.9008 + 0.5.0 diff --git a/reference/translate.mars_multistep.html b/reference/translate.mars_multistep.html index 91c2756c..3af32cc2 100644 --- a/reference/translate.mars_multistep.html +++ b/reference/translate.mars_multistep.html @@ -23,7 +23,7 @@ finnts - 0.4.0.9008 + 0.5.0 diff --git a/reference/translate.svm_poly_multistep.html b/reference/translate.svm_poly_multistep.html index 56f637ef..69f8234d 100644 --- a/reference/translate.svm_poly_multistep.html +++ b/reference/translate.svm_poly_multistep.html @@ -23,7 +23,7 @@ finnts - 0.4.0.9008 + 0.5.0 diff --git a/reference/translate.svm_rbf_multistep.html b/reference/translate.svm_rbf_multistep.html index 5faf7a8e..2aecd21b 100644 --- a/reference/translate.svm_rbf_multistep.html +++ b/reference/translate.svm_rbf_multistep.html @@ -23,7 +23,7 @@ finnts - 0.4.0.9008 + 0.5.0 diff --git a/reference/translate.xgboost_multistep.html b/reference/translate.xgboost_multistep.html index e8a98958..2559453c 100644 --- a/reference/translate.xgboost_multistep.html +++ b/reference/translate.xgboost_multistep.html @@ -23,7 +23,7 @@ finnts - 0.4.0.9008 + 0.5.0 diff --git a/reference/update.cubist_multistep.html b/reference/update.cubist_multistep.html index b364b5ff..0ff30108 100644 --- a/reference/update.cubist_multistep.html +++ b/reference/update.cubist_multistep.html @@ -23,7 +23,7 @@ finnts - 0.4.0.9008 + 0.5.0 diff --git a/reference/update.glmnet_multistep.html b/reference/update.glmnet_multistep.html index a5435014..0f2bf851 100644 --- a/reference/update.glmnet_multistep.html +++ b/reference/update.glmnet_multistep.html @@ -23,7 +23,7 @@ finnts - 0.4.0.9008 + 0.5.0 diff --git a/reference/update.mars_multistep.html b/reference/update.mars_multistep.html index d02dbc3a..51684dc7 100644 --- a/reference/update.mars_multistep.html +++ b/reference/update.mars_multistep.html @@ -23,7 +23,7 @@ finnts - 0.4.0.9008 + 0.5.0 diff --git a/reference/update.svm_poly_multistep.html b/reference/update.svm_poly_multistep.html index 7f63f0ac..aedbb7f6 100644 --- a/reference/update.svm_poly_multistep.html +++ b/reference/update.svm_poly_multistep.html @@ -23,7 +23,7 @@ finnts - 0.4.0.9008 + 0.5.0 diff --git a/reference/update.svm_rbf_multistep.html b/reference/update.svm_rbf_multistep.html index 9bf6015c..4e64c01d 100644 --- a/reference/update.svm_rbf_multistep.html +++ b/reference/update.svm_rbf_multistep.html @@ -23,7 +23,7 @@ finnts - 0.4.0.9008 + 0.5.0 diff --git a/reference/update.xgboost_multistep.html b/reference/update.xgboost_multistep.html index d506b272..bab17c40 100644 --- a/reference/update.xgboost_multistep.html +++ b/reference/update.xgboost_multistep.html @@ -23,7 +23,7 @@ finnts - 0.4.0.9008 + 0.5.0 diff --git a/reference/xgboost_multistep.html b/reference/xgboost_multistep.html index 6a87af9f..910d168f 100644 --- a/reference/xgboost_multistep.html +++ b/reference/xgboost_multistep.html @@ -23,7 +23,7 @@ finnts - 0.4.0.9008 + 0.5.0 diff --git a/reference/xgboost_multistep_fit_impl.html b/reference/xgboost_multistep_fit_impl.html index 5889a7be..d701945d 100644 --- a/reference/xgboost_multistep_fit_impl.html +++ b/reference/xgboost_multistep_fit_impl.html @@ -23,7 +23,7 @@ finnts - 0.4.0.9008 + 0.5.0 diff --git a/reference/xgboost_multistep_predict_impl.html b/reference/xgboost_multistep_predict_impl.html index 0b01a702..bbc07c03 100644 --- a/reference/xgboost_multistep_predict_impl.html +++ b/reference/xgboost_multistep_predict_impl.html @@ -23,7 +23,7 @@ finnts - 0.4.0.9008 + 0.5.0