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Fix kcross validation

This commit is contained in:
Paul Schaub 2018-08-07 17:54:05 +02:00
parent 88a7c021d8
commit 2dfe5ef1b6
Signed by: vanitasvitae
GPG Key ID: 62BEE9264BF17311
2 changed files with 11 additions and 19 deletions
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28
pywatts/kcross.py
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@ -24,15 +24,8 @@ def split(data, k):
bucketsize = int(len(samples) / k) bucketsize = int(len(samples) / k)
print(k)
print(len(data))
print(len(samples))
print(bucketsize)
# K steps # K steps
for i in range(k): for i in range(k):
eval_dict = []
train_dict = []
eval_samples = [] eval_samples = []
train_samples = [] train_samples = []
for j in range(k): for j in range(k):
@ -41,19 +34,18 @@ def split(data, k):
else: else:
train_samples.extend(samples[i*bucketsize:(i+1)*bucketsize]) train_samples.extend(samples[i*bucketsize:(i+1)*bucketsize])
for s in eval_samples: # Create new dictionaries in the eval lists
# Create new dictionaries in the eval lists X_eval.append({'dc': eval_samples[:-1]})
X_eval.append({'dc': s[:-1]}) y_eval.append({'dc': eval_samples[-1]})
y_eval.append({'dc': s[-1]})
for s in train_samples: X_train.append({'dc': train_samples[:-1]})
X_train.append({'dc': s[:-1]}) y_train.append({'dc': train_samples[-1]})
y_train.append({'dc': s[-1]})
print(len(X_train) / 12) print(len(X_eval))
#print(X_train) print(len(y_eval))
#print(y_train)
exit(0) print(len(X_train))
print(len(y_train))
return X_train, y_train, X_eval, y_eval return X_train, y_train, X_eval, y_eval

2
pywatts/test_kcross_train.py
View File

@ -25,7 +25,7 @@ n = pywatts.neural.Net(feature_cols=feature_col)
(X_train, y_train, X_eval, y_eval) = kcross.split(df, K) (X_train, y_train, X_eval, y_eval) = kcross.split(df, K)
train_eval = {} #train_eval = {}
if TRAIN: if TRAIN:
# Train the model with the steps given # Train the model with the steps given