Capping to zero

This commit is contained in:
reedts 2018-08-13 14:31:39 +02:00
parent 0e228772dc
commit 841690f98b
5 changed files with 9 additions and 8 deletions

View File

@ -1,5 +1,5 @@
from pywatts import db
from pywatts import fetchdata
from pywatts import neural
from pywatts import main
from pywatts import routines
from pywatts import kcross

View File

@ -75,7 +75,8 @@ def predict24h(nn, X_pred):
for i in range(24):
pred = nn.predict1h(pandas.DataFrame.from_dict(input))
predictions.extend(list([p['predictions'][0] for p in pred]))
# Cap prediction to 0
predictions.extend(list([max(p['predictions'][0], 0) for p in pred]))
# Remove first value and append predicted value
del input['dc'][0]
input['dc'].append(predictions[-1])

View File

@ -1,11 +1,11 @@
import tensorflow as tf
import pywatts.db
from pywatts.main import *
from pywatts.routines import *
PREDICT_QUERY = "query-sample_1hour.json"
PREDICT_RESULT = PREDICT_QUERY.replace("query", "result")
QUERY_ID = 1
QUERY_ID = 0
pred_query = input_query("../sample_data/" + PREDICT_QUERY, QUERY_ID)
@ -21,4 +21,4 @@ prediction = predict(n, pred_query)
print(prediction)
print(pred_result)
pywatts.main.eval_prediction(prediction, pred_result)
pywatts.routines.eval_prediction(prediction, pred_result)

View File

@ -1,6 +1,6 @@
import tensorflow as tf
import pywatts.db
from pywatts.main import *
from pywatts.routines import *
import matplotlib.pyplot as pp

View File

@ -1,7 +1,7 @@
import peewee
import tensorflow as tf
import pywatts.db
from pywatts.main import *
from pywatts.routines import *
NUM_STATIONS_FROM_DB = 75
NUM_TRAIN_STATIONS = 400
@ -43,7 +43,7 @@ if TRAIN:
if PLOT:
# Plot training success rate (with 'average loss')
pywatts.main.plot_training(train_eval)
pywatts.routines.plot_training(train_eval)
exit()