Can I use sklearn cross_val_score with two different input?
up vote
0
down vote
favorite
My problem is:
'can I use sklearn cross_val_score with two different input?'
I concatenated two LSTM model with each different X and with same target Y.
And I tried to check cross_val_score. but it isn't work.
def concat():
input1 = Input(shape=(6,1))
pay = LSTM(10)(input1)
pay = Dense(10, activation='relu')(pay)
# DEMO_data net
input2 = Input(shape=(6,1))
bill = LSTM(10)(input2)
bill = Dense(10, activation='relu')(bill)
merge = concatenate([pay, bill])
hidden1 = Dense(10, activation='relu')(merge)
output = Dense(1, activation='sigmoid')(hidden1)
model = Model(inputs=[input1, input2], outputs=output)
model.summary()
model.compile(loss='binary_crossentropy', optimizer='adam', metrics='accuracy'])
return model
and I tried this
dnn = KerasClassifier(build_fn=concat, batch_size=BATCH_SIZE, epochs=NB_EPOCH, verbose=VERBOSE)
# Evaluate using 5-fold cross validation
cv_results = cross_val_score(dnn, PAY_data, BILL_data, y, cv=5)
print(cv_results)
print(cv_results.mean(), cv_results.std())
but it didn't work with this below error message
is it impossible to use cross_val_score with two different input?
scikit-learn keras
edited Nov 12 at 7:26
Cœur
17.3k9102142
asked Nov 12 at 7:23
MinJae
11
add a comment |
up vote
0
down vote
favorite
My problem is:
'can I use sklearn cross_val_score with two different input?'
I concatenated two LSTM model with each different X and with same target Y.
And I tried to check cross_val_score. but it isn't work.
def concat():
input1 = Input(shape=(6,1))
pay = LSTM(10)(input1)
pay = Dense(10, activation='relu')(pay)
# DEMO_data net
input2 = Input(shape=(6,1))
bill = LSTM(10)(input2)
bill = Dense(10, activation='relu')(bill)
merge = concatenate([pay, bill])
hidden1 = Dense(10, activation='relu')(merge)
output = Dense(1, activation='sigmoid')(hidden1)
model = Model(inputs=[input1, input2], outputs=output)
model.summary()
model.compile(loss='binary_crossentropy', optimizer='adam', metrics='accuracy'])
return model
and I tried this
dnn = KerasClassifier(build_fn=concat, batch_size=BATCH_SIZE, epochs=NB_EPOCH, verbose=VERBOSE)
# Evaluate using 5-fold cross validation
cv_results = cross_val_score(dnn, PAY_data, BILL_data, y, cv=5)
print(cv_results)
print(cv_results.mean(), cv_results.std())
but it didn't work with this below error message
is it impossible to use cross_val_score with two different input?
scikit-learn keras
edited Nov 12 at 7:26
Cœur
17.3k9102142
asked Nov 12 at 7:23
MinJae
11
coeur thank you for your help!
– MinJae
Nov 12 at 7:37
The positional arguments of cross_val_score areestimator, X, yand therefore you have to pass the two input arrays as a list:cross_val_score(dnn, [PAY_data, BILL_data], y, cv=5)
– elcombato
Nov 12 at 16:21
thanks. but 'cross_val_score(dnn, [PAY_data, BILL_data], y, cv=5)' it also didn't work
– MinJae
Nov 13 at 2:25
add a comment |
up vote
0
down vote
favorite
up vote
0
down vote
favorite
My problem is:
'can I use sklearn cross_val_score with two different input?'
I concatenated two LSTM model with each different X and with same target Y.
And I tried to check cross_val_score. but it isn't work.
def concat():
input1 = Input(shape=(6,1))
pay = LSTM(10)(input1)
pay = Dense(10, activation='relu')(pay)
# DEMO_data net
input2 = Input(shape=(6,1))
bill = LSTM(10)(input2)
bill = Dense(10, activation='relu')(bill)
merge = concatenate([pay, bill])
hidden1 = Dense(10, activation='relu')(merge)
output = Dense(1, activation='sigmoid')(hidden1)
model = Model(inputs=[input1, input2], outputs=output)
model.summary()
model.compile(loss='binary_crossentropy', optimizer='adam', metrics='accuracy'])
return model
and I tried this
dnn = KerasClassifier(build_fn=concat, batch_size=BATCH_SIZE, epochs=NB_EPOCH, verbose=VERBOSE)
# Evaluate using 5-fold cross validation
cv_results = cross_val_score(dnn, PAY_data, BILL_data, y, cv=5)
print(cv_results)
print(cv_results.mean(), cv_results.std())
but it didn't work with this below error message
is it impossible to use cross_val_score with two different input?
scikit-learn keras
edited Nov 12 at 7:26
Cœur
17.3k9102142
asked Nov 12 at 7:23
MinJae
11
My problem is:
'can I use sklearn cross_val_score with two different input?'
I concatenated two LSTM model with each different X and with same target Y.
And I tried to check cross_val_score. but it isn't work.
def concat():
input1 = Input(shape=(6,1))
pay = LSTM(10)(input1)
pay = Dense(10, activation='relu')(pay)
# DEMO_data net
input2 = Input(shape=(6,1))
bill = LSTM(10)(input2)
bill = Dense(10, activation='relu')(bill)
merge = concatenate([pay, bill])
hidden1 = Dense(10, activation='relu')(merge)
output = Dense(1, activation='sigmoid')(hidden1)
model = Model(inputs=[input1, input2], outputs=output)
model.summary()
model.compile(loss='binary_crossentropy', optimizer='adam', metrics='accuracy'])
return model
and I tried this
dnn = KerasClassifier(build_fn=concat, batch_size=BATCH_SIZE, epochs=NB_EPOCH, verbose=VERBOSE)
# Evaluate using 5-fold cross validation
cv_results = cross_val_score(dnn, PAY_data, BILL_data, y, cv=5)
print(cv_results)
print(cv_results.mean(), cv_results.std())
but it didn't work with this below error message
is it impossible to use cross_val_score with two different input?
scikit-learn keras
scikit-learn keras
edited Nov 12 at 7:26
Cœur
17.3k9102142
asked Nov 12 at 7:23
MinJae
11
edited Nov 12 at 7:26
Cœur
17.3k9102142
asked Nov 12 at 7:23
MinJae
11
edited Nov 12 at 7:26
Cœur
17.3k9102142
edited Nov 12 at 7:26
Cœur
17.3k9102142
edited Nov 12 at 7:26
Cœur
17.3k9102142
17.3k9102142
asked Nov 12 at 7:23
MinJae
11
asked Nov 12 at 7:23
MinJae
11
asked Nov 12 at 7:23
MinJae
11
11
coeur thank you for your help!
– MinJae
Nov 12 at 7:37
The positional arguments of cross_val_score areestimator, X, yand therefore you have to pass the two input arrays as a list:cross_val_score(dnn, [PAY_data, BILL_data], y, cv=5)
– elcombato
Nov 12 at 16:21
thanks. but 'cross_val_score(dnn, [PAY_data, BILL_data], y, cv=5)' it also didn't work
– MinJae
Nov 13 at 2:25
add a comment |
coeur thank you for your help!
– MinJae
Nov 12 at 7:37
The positional arguments of cross_val_score areestimator, X, yand therefore you have to pass the two input arrays as a list:cross_val_score(dnn, [PAY_data, BILL_data], y, cv=5)
– elcombato
Nov 12 at 16:21
thanks. but 'cross_val_score(dnn, [PAY_data, BILL_data], y, cv=5)' it also didn't work
– MinJae
Nov 13 at 2:25
coeur thank you for your help!
– MinJae
Nov 12 at 7:37
coeur thank you for your help!
– MinJae
Nov 12 at 7:37
The positional arguments of cross_val_score are
estimator, X, y and therefore you have to pass the two input arrays as a list: cross_val_score(dnn, [PAY_data, BILL_data], y, cv=5)– elcombato
Nov 12 at 16:21
The positional arguments of cross_val_score are
estimator, X, y and therefore you have to pass the two input arrays as a list: cross_val_score(dnn, [PAY_data, BILL_data], y, cv=5)– elcombato
Nov 12 at 16:21
thanks. but 'cross_val_score(dnn, [PAY_data, BILL_data], y, cv=5)' it also didn't work
– MinJae
Nov 13 at 2:25
thanks. but 'cross_val_score(dnn, [PAY_data, BILL_data], y, cv=5)' it also didn't work
– MinJae
Nov 13 at 2:25
add a comment |
active
oldest
votes
Your Answer
StackExchange.ifUsing("editor", function ()
StackExchange.using("externalEditor", function ()
StackExchange.using("snippets", function ()
StackExchange.snippets.init();
);
);
, "code-snippets");
StackExchange.ready(function()
var channelOptions =
tags: "".split(" "),
id: "1"
;
initTagRenderer("".split(" "), "".split(" "), channelOptions);
StackExchange.using("externalEditor", function()
// Have to fire editor after snippets, if snippets enabled
if (StackExchange.settings.snippets.snippetsEnabled)
StackExchange.using("snippets", function()
createEditor();
);
else
createEditor();
);
function createEditor()
StackExchange.prepareEditor(
heartbeatType: 'answer',
autoActivateHeartbeat: false,
convertImagesToLinks: true,
noModals: true,
showLowRepImageUploadWarning: true,
reputationToPostImages: 10,
bindNavPrevention: true,
postfix: "",
imageUploader:
brandingHtml: "Powered by u003ca class="icon-imgur-white" href="https://imgur.com/"u003eu003c/au003e",
contentPolicyHtml: "User contributions licensed under u003ca href="https://creativecommons.org/licenses/by-sa/3.0/"u003ecc by-sa 3.0 with attribution requiredu003c/au003e u003ca href="https://stackoverflow.com/legal/content-policy"u003e(content policy)u003c/au003e",
allowUrls: true
,
onDemand: true,
discardSelector: ".discard-answer"
,immediatelyShowMarkdownHelp:true
);
);
draft saved
draft discarded
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function ()
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f53257506%2fcan-i-use-sklearn-cross-val-score-with-two-different-input%23new-answer', 'question_page');
);
Post as a guest
Required, but never shown
active
oldest
votes
active
oldest
votes
active
oldest
votes
active
oldest
votes
draft saved
draft discarded
Thanks for contributing an answer to Stack Overflow!
- Please be sure to answer the question. Provide details and share your research!
But avoid …
- Asking for help, clarification, or responding to other answers.
- Making statements based on opinion; back them up with references or personal experience.
To learn more, see our tips on writing great answers.
Some of your past answers have not been well-received, and you're in danger of being blocked from answering.
Please pay close attention to the following guidance:
- Please be sure to answer the question. Provide details and share your research!
But avoid …
- Asking for help, clarification, or responding to other answers.
- Making statements based on opinion; back them up with references or personal experience.
To learn more, see our tips on writing great answers.
draft saved
draft discarded
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function ()
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f53257506%2fcan-i-use-sklearn-cross-val-score-with-two-different-input%23new-answer', 'question_page');
);
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
coeur thank you for your help!
– MinJae
Nov 12 at 7:37
The positional arguments of cross_val_score are
estimator, X, yand therefore you have to pass the two input arrays as a list:cross_val_score(dnn, [PAY_data, BILL_data], y, cv=5)– elcombato
Nov 12 at 16:21
thanks. but 'cross_val_score(dnn, [PAY_data, BILL_data], y, cv=5)' it also didn't work
– MinJae
Nov 13 at 2:25