Feature ml patch (#10)

* adds scalar, makes demo config config more helpful

* more config updates

* Adds basic version of diagnostics package from T2K MaCh3, will not work just yet...

* update gitignore

* Implements plotting lib

* Small patches'

* More small fixes to naming

* EVEN MORE REQUIREMENTS

* Switch off deprecation warning

* Oops summary diags

* Oops, fixes name change

Author: henry-wallace-phys

MaCh3PythonUtils/machine_learning/fml_interface.py

@@ -9,7 +9,6 @@
 from sklearn import metrics
 from sklearn.preprocessing import StandardScaler
 import matplotlib.pyplot as plt
-import scipy.stats as stats
 import numpy as np
 
 import pickle

MaCh3PythonUtils/machine_learning/ml_factory.py

@@ -51,13 +51,13 @@ def __setup_package_factory(self, package: str, algorithm: str, **kwargs):
 
         return self.__IMPLEMENTED_ALGORITHMS[package][algorithm](*kwargs)
 
-    def setup_scikit_model(self, algorithm: str, **kwargs)->SciKitInterface:
+    def make_scikit_model(self, algorithm: str, **kwargs)->SciKitInterface:
         # Simple wrapper for scikit packages
         interface = SciKitInterface(self._chain, self._prediction_variable)
         interface.add_model(self.__setup_package_factory(package="scikit", algorithm=algorithm, **kwargs))
         return interface
 
-    def setup_tensorflow_model(self, algorithm: str,  **kwargs):
+    def make_tensorflow_model(self, algorithm: str,  **kwargs):
         interface = TfInterface(self._chain, self._prediction_variable)
 
         interface.add_model(self.__setup_package_factory(package="tensorflow", algorithm=algorithm))

configs/tensorflow_config.yml

@@ -44,4 +44,3 @@ MLSettings:
 
         FitSettings:
             batch_size: 100
-            epochs: 200

requirements.txt

@@ -12,4 +12,4 @@ arviz
 mplhep
 tqdm
 numba
-jinja2
+jinja2