fix: Some tidying and build fixes

cognitive/src/test/scala/com/microsoft/azure/synapse/ml/cognitive/form/FormRecognizerV3Suite.scala

@@ -179,7 +179,7 @@ class AnalyzeDocumentSuite extends TransformerFuzzing[AnalyzeDocument] with Form
         "Contoso\nAddress:\n1 Redmond way Suite\n6000 Redmond, WA\n99243\n" +
           "Invoice For: Microsoft\n1020 Enterprise Way",
         "CustomerAddress,CustomerAddressRecipient," +
-          "CustomerName,DueDate,InvoiceDate,InvoiceId,Items,VendorAddress,VendorName")
+          "CustomerName,DueDate,InvoiceDate,InvoiceId,InvoiceTotal,Items,VendorAddress,VendorName")
     }
   }
 

environment.yml

@@ -44,3 +44,5 @@ dependencies:
     - huggingface-hub>=0.8.1
     - langchain==0.0.151
     - openai==0.27.5
+    - black==22.3.0
+    - black[jupyter]==22.3.0

notebooks/features/hyperparameter_tuning/HyperOpt-SynapseML.ipynb

@@ -517,4 +517,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 2
-}
+}

notebooks/features/isolation_forest/IsolationForest - Multivariate Anomaly Detection.ipynb

@@ -27,6 +27,24 @@
     " - If you are running it on Synapse, you'll need to [create an AML workspace and set up linked Service](https://microsoft.github.io/SynapseML/docs/next/mlflow/installation/). \n"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "outputs": [],
+   "source": [
+    "import subprocess\n",
+    "import sys\n",
+    "\n",
+    "for package in [\"sqlparse\", \"raiwidgets\", \"interpret-community\"]:\n",
+    "    subprocess.check_call([sys.executable, \"-m\", \"pip\", \"install\", package])"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
   {
    "cell_type": "markdown",
    "metadata": {
@@ -145,27 +163,26 @@
     "experiment_name = f\"/Shared/isolation_forest_experiment-{str(uuid.uuid1())}/\"\n",
     "model_name = f\"isolation-forest-model\"\n",
     "if running_on_synapse():\n",
-    "    import subprocess\n",
-    "    import sys\n",
-    "    from pyspark.sql.functions import udf\n",
     "    from synapse.ml.core.platform import materializing_display as display\n",
     "\n",
     "    # use regular display when running on interactive notebook\n",
-    "    # from notebookutils.visualization import display\n",
-    "\n",
-    "    for package in [\"sqlparse\", \"raiwidgets\", \"interpret-community\"]:\n",
-    "        subprocess.check_call([sys.executable, \"-m\", \"pip\", \"install\", package])"
+    "    # from notebookutils.visualization import display"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
    "outputs": [],
    "source": [
     "# Bootstrap Spark Session\n",
     "spark = SparkSession.builder.getOrCreate()"
-   ]
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
   },
   {
    "cell_type": "markdown",
@@ -564,7 +581,7 @@
    "outputs": [],
    "source": [
     "# Define UDF\n",
-    "vec2array = udf(lambda vec: vec.toArray().tolist(), ArrayType(FloatType()))"
+    "vec2array = F.udf(lambda vec: vec.toArray().tolist(), ArrayType(FloatType()))"
    ]
   },
   {
@@ -1013,4 +1030,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 1
-}
+}

notebooks/features/responsible_ai/Interpretability - Explanation Dashboard.ipynb

@@ -51,7 +51,6 @@
     "\n",
     "if running_on_synapse():\n",
     "    shell = TerminalInteractiveShell.instance()\n",
-    "    shell.define_macro(\"foo\", \"\"\"a,b=10,20\"\"\")\n",
     "    from notebookutils.visualization import display\n",
     "\n",
     "\n",
@@ -481,4 +480,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 4
-}
+}

pipeline.yaml

@@ -65,12 +65,10 @@ jobs:
         scriptLocation: inlineScript
         scriptType: bash
         inlineScript: 'sbt scalastyle test:scalastyle'
-    - task: UsePythonVersion@00
-      inputs:
-        versionSpec: '3.8'
-    - script: pip install -r requirements.txt
-      displayName: 'Install requirements'
+    - template: templates/conda.yml
     - bash: |
+        set -e
+        source activate synapseml
         black --diff --color . && black --check -q .
       displayName: 'Python Style Check'
 

website/docs/documentation/transformers/core/_Train.md

@@ -24,7 +24,7 @@ from synapse.ml.train import *
 from numpy import random
 
 df = spark.createDataFrame(
-      [(random.rand(), random.rand()) for _ in range(4096)], ["label", "prediction"]
+      [(random.rand(), random.rand()) for _ in range(2048)], ["label", "prediction"]
 )
 
 cms = (ComputeModelStatistics()
@@ -43,8 +43,8 @@ import com.microsoft.azure.synapse.ml.train._
 import scala.util.Random
 
 val rand = new Random(1337)
-val df = (Seq.fill(4096)(rand.nextDouble())
-      .zip(Seq.fill(4096)(rand.nextDouble()))
+val df = (Seq.fill(2048)(rand.nextDouble())
+      .zip(Seq.fill(2048)(rand.nextDouble()))
       .toDF("label", "prediction"))
 
 val cms = (new ComputeModelStatistics()