Loading ml.py +4 −0 Original line number Diff line number Diff line # preprocessing X_train = [] Y_train = [] import preprocess def preprocessing(): XYList = preproces.loadXY() X_train = XYList[0] Y_train = XYList[1] # declaring, training, fitting each algorithm def mlinit(): Loading preprocess.py +5 −6 Original line number Diff line number Diff line Loading @@ -91,11 +91,6 @@ def prepare(features, data): return np.array(matrix), target # for API def loadXY(): X, Y = prepare(features, data) return [X, Y] ############################################################################################################################################## #read in training and testing data Loading Loading @@ -129,3 +124,7 @@ dump(features, 'features.joblib') #create feature matrix for training and testing data X, Y = prepare(features, data) # for API def loadXY(): return [X, Y] No newline at end of file Loading
ml.py +4 −0 Original line number Diff line number Diff line # preprocessing X_train = [] Y_train = [] import preprocess def preprocessing(): XYList = preproces.loadXY() X_train = XYList[0] Y_train = XYList[1] # declaring, training, fitting each algorithm def mlinit(): Loading
preprocess.py +5 −6 Original line number Diff line number Diff line Loading @@ -91,11 +91,6 @@ def prepare(features, data): return np.array(matrix), target # for API def loadXY(): X, Y = prepare(features, data) return [X, Y] ############################################################################################################################################## #read in training and testing data Loading Loading @@ -129,3 +124,7 @@ dump(features, 'features.joblib') #create feature matrix for training and testing data X, Y = prepare(features, data) # for API def loadXY(): return [X, Y] No newline at end of file