Dbaas 2571 (#23)

* DBAAS-2387: Added createTable function to create a new schema.table from a dataframe

* DBAAS-2387: Added an optional upper param to insert, upsert and update in case of mixed case columns in SQL tables

* Added a replaceDataframeSchema function to properly set the case of each column name of the dataframe

* DBAAS-2387: fixed schema_table_name in params

* DBAAS-2387: Added 26 Unit Tests; Refactored Create Table Function; Refactored Tests

* removed pyc files and __pycache__ via gitignore

* removed pytest cache

* DBAAS-2387: removed changes from .gitignore

* DBAAS-2571: Updating MLManager to have new features released in MLFlow 1.0

* DBAAS-2571: More features for MLFlow 1.0 Upgrade; deprecated SpliceMLContext; Fixed specificity in Binary Classification Evaluator

* DBAAS-2571: Added Deploymenet to Sagemaker programmatically

* DBAAS-2571: Fixed minor bugs and renamed functions

* DBAAS-2571: Fixed typo in if-statement checking validity of MLFlow REST tracking endpoint URL

* DBAAS-2571: Added Governance for new runs as well as support for overriding username

* DBAAS-2571: Fixed get user function to be less verbose

* DBAAS-2571: Added more checks

* DBAAS-2571: Removed useless dependencies

* DBAAS-2571: Removed mutable initial argument

* DBAAS-2571: Fixed user governance

* DBAAS-2571: Added database store support via py4j for models & artifacts

* DBAAS-2571: Fixed typo in reset run

* DBAAS-2571: Updated JVM

* DBAAS-2571: Added Basic Auth to Job Initiation and added Azure Deployment

* DBAAS-2571: Added support for OneVsRest for Model Hyperparameter extraction

* Missing comma in dependencies

* Update setup.py

* Update setup.py

* Update context.py

.gitignore

@@ -1,6 +1,9 @@
 /.idea
 /.vscode
 .DS_Store
+splicemachine/.DS_Store
 *.pyc
+*.pyo
+**/__pycache__
 splicemachine/ml/test/
 splicemachine/ml/utilities.pyc

setup.py

@@ -17,22 +17,11 @@
 from setuptools import setup, find_packages
 
 dependencies = [
-    "atomicwrites==1.1.5",
-    "attrs==18.1.0",
-    "more-itertools==4.2.0",
-    "pluggy==0.6.0",
-    "py==1.5.3",
-    "py4j==0.10.7",
-    "pytest==3.6.1",
-    "six==1.11.0",
-    "mlflow==0.8.0",
-    "graphviz==0.8.4",
-    "numpy==1.15.0",
-    "h2o_pysparkling_2.2",
-    "pandas==0.22.0",
-    "pyspark-dist-explore==0.1.7",
-    "tqdm==4.32.2",
-    "statsmodels==0.9.0"
+    "py4j==0.10.8.1",
+    "pytest==5.1.3",
+    "mlflow==1.1.0",
+    "graphviz==0.13",
+    "future"
 ]
 setup(
     name="splicemachine",
@@ -42,7 +31,9 @@
     license='Apache License, Version 2.0',
     long_description=open('README.md').read(),
     author="Splice Machine, Inc.",
-	author_email="[email protected]",
-    description="This package contains all of the classes and functions you need to interact with Splice Machine's scale out, Hadoop on SQL RDBMS from Python. It also contains several machine learning utilities for use with Apache Spark.",
+    author_email="[email protected]",
+    description="This package contains all of the classes and functions you need to interact "
+                "with Splice Machine's scale out, Hadoop on SQL RDBMS from Python. It also contains"
+                " several machine learning utilities for use with Apache Spark.",
     url="https://github.com/splicemachine/pysplice/"
 )