v0.28.1

0.28.1 (2024-09-26)

Bug Fixes

• unwrap operators of cell operations (#932) (533a966)

v0.28.0

0.28.0 (2024-09-17)

Features

• hyperparameter optimization for classical models (#843) (d8f7491), closes #264

v0.27.0

0.27.0 (2024-07-19)

Features

• join (#870) (5764441), closes #745
• activation function for forward layer (#891) (5b5bb3f), closes #889
• add ImageDataset.split (#846) (3878751), closes #831
• add FunctionalTableTransformer (#901) (37905be), closes #858
• add InvalidFitDataError (#824) (487854c), closes #655
• add KNearestNeighborsImputer (#864) (fcdfecf), closes #743
• add moving average plot (#836) (abcf68a)
• add RobustScaler (#874) (62320a3), closes #650 #873
• add SequentialTableTransformer (#893) (e93299f), closes #802
• add temporal operations (#832) (06eab77)
• added 'histogram_2d' in TablePlotter (#903) (4e65ba9), closes #869 #798
• added from_str_to_temporal and continues prediction (#767) (35f468a), closes #806 #765 #740 #773
• added GRU layer (#845) (d33cb5d)
• Adds Dropout Layer (#868) (a76f0a1), closes #848
• dark mode for plots (#911) (5447551), closes #798
• easily create a baseline model (#811) (8e1b995), closes #710
• get first cell with value other than None (#904) (5a0cdb3), closes #799
• hyperparameter optimization for fnn models (#897) (c1f66e5), closes #861
• implement violin plots (#900) (9f5992a), closes #867
• plot decision tree (#876) (d3f81dc), closes #856
• prediction no longer takes a time series dataset only table (#838) (762e5c2), closes #837
• raise if remove_colums is called with unknown column by default (#852) (8f78163), closes #807
• regularization strength for logistic classifier (#866) (9f74e92), closes #750
• reorders parameters of RangeScaler and makes them keyword-only (#847) (2b82db7), closes #809
• replace seaborn with matplotlib for box_plot (#863) (4ef078e), closes #805 #849
• replaced seaborn with matplotlib for correlation_heatmap (#850) (d4680d4), closes #800 #849

Bug Fixes

• deps: bump urllib3 from 2.2.1 to 2.2.2 (#842) (b81bcd6)
• labels of correlation heatmap (#894) (a88a609), closes #871
• make multi-processing in baseline models more consistent (#909) (fa24560), closes #907

Performance Improvements

• improved performance in various methods in Image and ImageList (#879) (134e7d8)

Major thanks to all contributors:

• @TellemHD made their first contribution in #847
• @Muellersen made their first contribution in #850
• @TobiasPluecker made their first contribution in #852
• @zogomii made their first contribution in #866
• @Tarmandan made their first contribution in #874
• @LIEeOoNn made their first contribution in #878
• @RobinSen28 made their first contribution in #893
• @timwirt made their first contribution in #876
• @saius02 made their first contribution in #911
• @wastedareas made their first contribution in #904
• @Marsmaennchen221
• @Gerhardsa0
• @sibre28

v0.26.0

0.26.0 (2024-05-29)

Features

• Table.count_row_if (#788) (4137131), closes #786
• added method to load pretrained models from huggingface (#790) (dd8394b)
• infer input size of forward and LSTM layers (#808) (098a07f)
• outline around dots of scatterplot (#785) (ee8acf7)
• remove output conversions (#792) (46f2f5d), closes #732
• shorten some excessively long names (#787) (1c3ea59), closes #772
• specify column names in constructor of table transformers (#795) (69a780c)
• store window size and forecast horizon in dataset (#794) (f07bc5a)
• string operations on cells (#791) (4a17f76)

Bug Fixes

• handling of boolean columns in column statistics (#778) (f61cceb)
• sort x values of line plot (#782) (74d8649)

Special thanks to all contributors:

• @Marsmaennchen221
• @SamanHushi

v0.25.0

0.25.0 (2024-05-15)

Features

• $R^2$ metric for regressors
• allow using tabular datasets in predict
• implement tabular containers and all transformer (except Discretizer) with polars
• move NN converters and layers to separate packages (#759) (c6a4073)
• remove deprecated methods from tabular containers
• specify partial order in label encoder (#763) (6fbe537), closes #639
• specify value separator when reading CSV file
• standalone metrics package

Special thanks to all contributors:

• @Gerhardsa0
• @Marsmaennchen221

v0.24.0

0.24.0 (2024-05-09)

This release features completely rewritten containers for tabular data (currently experimental). They use the extremely fast polars library as their backend. Together with a drastically more efficient implementation of our own interface, operations on tabular data are now as fast as they should be.

Previously, even operations on small tables (10000 rows x 50 columns) took very long, as this comparison of Table methods shows:

method	old (s)	new (s)	speedup (factor)
remove_duplicate_rows	0.25474	0.01306	19.5
remove_rows_with_missing_values	0.25159	0.00946	26.6
remove_rows_with_outliers	0.28816	0.01034	27.9
remove_rows	2.69647	0.00242	1114.2
shuffle_rows	0.24690	0.00204	121.0
slice_rows	0.12313	0.00011	1119.4
sort_rows	4.67574	0.00372	1256.9
split_rows	0.24764	0.00219	113.1
transform_column	2.89572	0.00030	9652.4 ❗

You can find a full list of changes below. Special thanks to all contributors:

• @Gerhardsa0
• @Marsmaennchen221
• @SamanHushi

Features

• Column.plot_histogram() using Table.plot_histograms for consistent results (#726) (576492c)
• Regressor.summarize_metrics and Classifier.summarize_metrics (#729) (1cc14b1), closes #713
• Add ImageDataset and Layer for ConvolutionalNeuralNetworks (#645) (5b6d219), closes #579 #580 #581
• added load_percentage parameter to ImageList.from_files to load a subset of the given files (#739) (0564b52), closes #736
• added rnn layer and TimeSeries conversion (#615) (6cad203), closes #614 #648 #656 #601
• Basic implementation of cell with polars (#734) (004630b), closes #712
• deprecate Table.add_column and Table.add_row (#723) (5dd9d02), closes #722
• deprecated Table.from_excel_file and Table.to_excel_file (#728) (c89e0bf), closes #727
• Larger histogram plot if table only has one column (#716) (31ffd12)
• polars implementation of a column (#738) (732aa48), closes #712
• polars implementation of a row (#733) (ff627f6), closes #712
• polars implementation of table (#744) (fc49895), closes #638 #641 #649 #712
• regularization for decision trees and random forests (#730) (102de2d), closes #700
• Remove device information in image class (#735) (d783caa), closes #524
• return fitted transformer and transformed table from fit_and_transform (#724) (2960d35), closes #613

Bug Fixes

• make Image.clone internal (#725) (215a472), closes #626

Performance Improvements

• improved performance of TabularDataset.__eq__ by a factor of up to 2 (#697) (cd7f55b)

v0.23.0

0.23.0 (2024-05-04)

Features

• add Column.to_table (#705) (36e4a7a), closes #695
• added Column.summarize_statistics() (#715) (71730a9), closes #701
• replace other values than NaN with imputer (#707) (4a059e0), closes #643

Bug Fixes

• use UTF-8 encoding when opening files (#704) (f8c27bc)

v0.22.1

0.22.1 (2024-05-02)

Bug Fixes

• make _Layer, _InputConversion, _OutputConversion public (#692) (eb226f4), closes #690 #691

v0.22.0

0.22.0 (2024-05-01)

Features

• is_fitted is now always a property (#662) (b1db881), closes #586
• add Column.missing_value_count (#682) (f084916), closes #642
• Add InputConversion & OutputConversion for nn interface (#625) (fd723f7), closes #621
• Add hash,eq and sizeof in ForwardLayer (#634) (72f7fde), closes #633
• allow using tables that already contain target for prediction (#687) (e9f1cfb), closes #636
• callback Row.sort_columns takes four parameters instead of two tuples (#683) (9c3e3de), closes #584
• rename group_rows_by in Table to group_rows (#661) (c1644b7), closes #611
• rename number_of_column in Row to number_of_columns (#660) (0a08296), closes #646
• rework TaggedTable (#680) (db2b613), closes #647
• show missing value count/ratio in summarized statistics (#684) (74b8a35), closes #619
• specify extras instead of features in to_tabular_dataset (#685) (841657f), closes #623

Bug Fixes

• actually use kernel of support vector machines for training (#681) (09c5082), closes #602

Performance Improvements

• Faster plot_histograms and more reliable plots (#659) (b5f0a12)

v0.21.0

0.21.0 (2024-04-17)

Features

• add ARIMA model (#577) (8b9c7a9), closes #570
• Add ImageList class (#534) (3cb74a2), closes #528 #599 #600
• more hash, sizeof and eq implementations (#609) (2bc0b0a)

Performance Improvements

• Add special case to Table.add_rows to increase performance (#608) (ffb8304), closes #606
• improve performance of model & forward layer (#616) (e856cd5), closes #610
• lazily import our modules and external libraries (#624) (20fc313)
• treat Tables specially when calling add_rows (#606) (e555b85), closes #575