data = {
'value': value,
'prediction_training': training_colomn,
'label': label
}
colomn_arrangement = ['value', 'prediction_training', 'label']
for i in range(no_of_prediction_points):
prediction[i] = np.append(training, prediction[i])
data['prediction_' + str(i)] = prediction[i]
colomn_arrangement.append('prediction_' + str(i))
dataframe_out = pandas.DataFrame(data, index=timestamp)
dataframe_out.index.name = "timestamp"
dataframe_out = dataframe_out[colomn_arrangement]
out_file = helpers.get_result_file_name(f, csv_output_directory, m)
dataframe_out.to_csv(out_file)
testing_value = value[testing_start:]
mse = helpers.MSE_multipoint(testing_value, testing_prediction,
no_of_prediction_points)
output_files.append(
helpers.get_result_dump_name(out_file) + "," + str(mse) + "," +
params)
helpers.dump_results(output_files, csv_output_directory, m)
print("##### [" + m + "]" + str(count) +
" CSV input File processed #####")
count += 1
print("##### " + m + " done ! #####")
print("All Done !")
testing_start = int(training_ratio*len(value))
training = np.ones(testing_start)
testing = np.zeros(len(value)-testing_start)
training_colomn = np.append(training,testing)
try :
label = np.array(dataframe_expect['label'])
except KeyError:
print "Warnning :["+f+"] No `label` colomn found data set without labels !. Assumes there are no anomolies"
label = np.zeros(len(value))
testing_prediction = prediction
prediction = np.append(training, prediction)
data = {'prediction':prediction, 'value':value, 'prediction_training':training_colomn, 'label':label }
dataframe_out = pandas.DataFrame(data, index=timestamp)
dataframe_out.index.name = "timestamp"
dataframe_out = dataframe_out[['value','prediction_training','prediction','label']]
out_file = helpers.get_result_file_name(f, csv_output_directory,m)
dataframe_out.to_csv(out_file)
testing_value = value[testing_start:]
mse = helpers.MSE(testing_value, testing_prediction)
output_files.append( helpers.get_result_dump_name(out_file) +","+ str(mse)+","+params )
helpers.dump_results(output_files, csv_output_directory,m)
print("##### ["+m+"]"+ str(count) + " CSV input File processed #####")
count += 1
print("##### " + m + " done ! #####")
print("All Done !")