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Commit 64b90646 authored by Nikolai.Hartmann's avatar Nikolai.Hartmann
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Loading and saving of StandardScaler

parent 2d10bf67
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......@@ -10,13 +10,17 @@ from root_numpy import tree2array, rec2array
import numpy as np
import pandas as pd
import h5py
from sklearn.preprocessing import StandardScaler
from sklearn.externals import joblib
import ROOT
class KerasROOTClassification:
dataset_names = ["x_train", "x_test", "y_train", "y_test", "w_train", "w_test"]
def __init__(self, name,
signal_trees, bkg_trees, branches, weight_expr, identifiers,
layers=3, nodes=64, out_dir="./outputs"):
......@@ -50,6 +54,9 @@ class KerasROOTClassification:
self.s_eventlist_train = None
self.b_eventlist_train = None
self._scaler = None
def load_data(self):
try:
......@@ -125,6 +132,29 @@ class KerasROOTClassification:
logger.info("Data loaded")
@property
def scaler(self):
# create the scaler (and fit to training data) if not existent
if self._scaler is None:
filename = os.path.join(self.project_dir, "scaler.pkl")
try:
self._scaler = joblib.load(filename)
logger.info("Loaded existing StandardScaler from {}".format(filename))
except IOError:
logger.info("Creating new StandardScaler")
self._scaler = StandardScaler()
logger.info("Fitting StandardScaler to training data")
self._scaler.fit(self.x_train)
joblib.dump(self._scaler, filename)
return self._scaler
def _transform_data(self):
pass
def _create_model(self):
pass
def train(self):
pass
......@@ -161,3 +191,5 @@ if __name__ == "__main__":
c.load_data()
print(c.x_train)
print(len(c.x_train))
print(c.scaler)
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