error when input function called with shape (2,2) The 2019 Stack Overflow Developer Survey Results Are InTensorFlow and Categorical variablesTensorflow neural network TypeError: Fetch argument has invalid typeShape Error in TensorflowGAN with Conv2D using TensorFlow - Shape errorDynamic rnn for toysequence classificationKeras input shape errorWhy the RNN has input shape error?Multi Class Classification on large dataset with over 600 classesDealing with Error in Neural Network inputKeras exception: Error when checking input: expected dense_input to have shape (2,) but got array with shape (1,)
Is bread bad for ducks?
Which Sci-Fi work first showed weapon of galactic-scale mass destruction?
If the Wish spell is used to duplicate the effect of Simulacrum, are existing duplicates destroyed?
Does it makes sense to buy a new cycle to learn riding?
Realistic Alternatives to Dust: What Else Could Feed a Plankton Bloom?
What is the meaning of Triage in Cybersec world?
How to change the limits of integration
Monty Hall variation
What does "sndry explns" mean in one of the Hitchhiker's guide books?
Are there any other methods to apply to solving simultaneous equations?
Extreme, unacceptable situation and I can't attend work tomorrow morning
"To split hairs" vs "To be pedantic"
Pristine Bit Checking
How long do I have to send my income tax payment to the IRS?
Is flight data recorder erased after every flight?
Where does the "burst of radiance" from Holy Weapon originate?
Could JWST stay at L2 "forever"?
Dual Citizen. Exited the US on Italian passport recently
Is three citations per paragraph excessive for undergraduate research paper?
Are USB sockets on wall outlets live all the time, even when the switch is off?
Is "plugging out" electronic devices an American expression?
Protecting Dualbooting Windows from dangerous code (like rm -rf)
On the insanity of kings as an argument against monarchy
aging parents with no investments
error when input function called with shape (2,2)
The 2019 Stack Overflow Developer Survey Results Are InTensorFlow and Categorical variablesTensorflow neural network TypeError: Fetch argument has invalid typeShape Error in TensorflowGAN with Conv2D using TensorFlow - Shape errorDynamic rnn for toysequence classificationKeras input shape errorWhy the RNN has input shape error?Multi Class Classification on large dataset with over 600 classesDealing with Error in Neural Network inputKeras exception: Error when checking input: expected dense_input to have shape (2,) but got array with shape (1,)
$begingroup$
I am new to Tensorflow and machine learning.
I am trying to use high level API from Tensorflow.
Please tell me what i am doing wrong.
import tensorflow as tf
import numpy as np
features = np.array([[-1,-2],[1,2]],dtype='int32')
label = np.array([0,1],dtype='int32')
feature_columns = [tf.feature_column.numeric_column('features',shape=[2,2])]
model = tf.estimator.LinearClassifier(feature_columns=feature_columns,n_classes=2)
model.train(input_fn= tf.estimator.inputs.numpy_input_fn(x=features,y=label,shuffle=True))
I am getting an error
ValueError: features should be a dictionary of `Tensor`s. Given type: <class 'tensorflow.python.framework.ops.Tensor'>
machine-learning python neural-network deep-learning tensorflow
edited Jun 11 '18 at 15:37
Vaalizaadeh
7,55062263
asked Jun 11 '18 at 11:52
maswadkarmaswadkar
1062
$endgroup$
bumped to the homepage by Community♦ 9 hours ago
This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
add a comment |
$begingroup$
I am new to Tensorflow and machine learning.
I am trying to use high level API from Tensorflow.
Please tell me what i am doing wrong.
import tensorflow as tf
import numpy as np
features = np.array([[-1,-2],[1,2]],dtype='int32')
label = np.array([0,1],dtype='int32')
feature_columns = [tf.feature_column.numeric_column('features',shape=[2,2])]
model = tf.estimator.LinearClassifier(feature_columns=feature_columns,n_classes=2)
model.train(input_fn= tf.estimator.inputs.numpy_input_fn(x=features,y=label,shuffle=True))
I am getting an error
ValueError: features should be a dictionary of `Tensor`s. Given type: <class 'tensorflow.python.framework.ops.Tensor'>
machine-learning python neural-network deep-learning tensorflow
edited Jun 11 '18 at 15:37
Vaalizaadeh
7,55062263
asked Jun 11 '18 at 11:52
maswadkarmaswadkar
1062
$endgroup$
bumped to the homepage by Community♦ 9 hours ago
This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
$begingroup$
The error is for which line? Also please say the version of your tensorflow.
$endgroup$
– Vaalizaadeh
Jun 11 '18 at 12:13
$begingroup$
Also take a look at here.
$endgroup$
– Vaalizaadeh
Jun 11 '18 at 12:19
$begingroup$
Hi @Media, Thank you so much for your comments. I get errror when i try to train the model model.train(input_fn= tf.estimator.inputs.numpy_input_fn(x=features,y=label,shuffle=True)) Versions: tensorflow 1.8 python 3.5.2
$endgroup$
– maswadkar
Jun 11 '18 at 14:04
$begingroup$
I guess the provided link has the answer, did you figured it out?
$endgroup$
– Vaalizaadeh
Jun 11 '18 at 14:27
add a comment |
$begingroup$
I am new to Tensorflow and machine learning.
I am trying to use high level API from Tensorflow.
Please tell me what i am doing wrong.
import tensorflow as tf
import numpy as np
features = np.array([[-1,-2],[1,2]],dtype='int32')
label = np.array([0,1],dtype='int32')
feature_columns = [tf.feature_column.numeric_column('features',shape=[2,2])]
model = tf.estimator.LinearClassifier(feature_columns=feature_columns,n_classes=2)
model.train(input_fn= tf.estimator.inputs.numpy_input_fn(x=features,y=label,shuffle=True))
I am getting an error
ValueError: features should be a dictionary of `Tensor`s. Given type: <class 'tensorflow.python.framework.ops.Tensor'>
machine-learning python neural-network deep-learning tensorflow
edited Jun 11 '18 at 15:37
Vaalizaadeh
7,55062263
asked Jun 11 '18 at 11:52
maswadkarmaswadkar
1062
$endgroup$
I am new to Tensorflow and machine learning.
I am trying to use high level API from Tensorflow.
Please tell me what i am doing wrong.
import tensorflow as tf
import numpy as np
features = np.array([[-1,-2],[1,2]],dtype='int32')
label = np.array([0,1],dtype='int32')
feature_columns = [tf.feature_column.numeric_column('features',shape=[2,2])]
model = tf.estimator.LinearClassifier(feature_columns=feature_columns,n_classes=2)
model.train(input_fn= tf.estimator.inputs.numpy_input_fn(x=features,y=label,shuffle=True))
I am getting an error
ValueError: features should be a dictionary of `Tensor`s. Given type: <class 'tensorflow.python.framework.ops.Tensor'>
machine-learning python neural-network deep-learning tensorflow
machine-learning python neural-network deep-learning tensorflow
edited Jun 11 '18 at 15:37
Vaalizaadeh
7,55062263
asked Jun 11 '18 at 11:52
maswadkarmaswadkar
1062
edited Jun 11 '18 at 15:37
Vaalizaadeh
7,55062263
asked Jun 11 '18 at 11:52
maswadkarmaswadkar
1062
edited Jun 11 '18 at 15:37
Vaalizaadeh
7,55062263
edited Jun 11 '18 at 15:37
Vaalizaadeh
7,55062263
edited Jun 11 '18 at 15:37
Vaalizaadeh
7,55062263
7,55062263
asked Jun 11 '18 at 11:52
maswadkarmaswadkar
1062
asked Jun 11 '18 at 11:52
maswadkarmaswadkar
1062
asked Jun 11 '18 at 11:52
maswadkarmaswadkar
1062
1062
bumped to the homepage by Community♦ 9 hours ago
This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
bumped to the homepage by Community♦ 9 hours ago
This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
$begingroup$
The error is for which line? Also please say the version of your tensorflow.
$endgroup$
– Vaalizaadeh
Jun 11 '18 at 12:13
$begingroup$
Also take a look at here.
$endgroup$
– Vaalizaadeh
Jun 11 '18 at 12:19
$begingroup$
Hi @Media, Thank you so much for your comments. I get errror when i try to train the model model.train(input_fn= tf.estimator.inputs.numpy_input_fn(x=features,y=label,shuffle=True)) Versions: tensorflow 1.8 python 3.5.2
$endgroup$
– maswadkar
Jun 11 '18 at 14:04
$begingroup$
I guess the provided link has the answer, did you figured it out?
$endgroup$
– Vaalizaadeh
Jun 11 '18 at 14:27
add a comment |
$begingroup$
The error is for which line? Also please say the version of your tensorflow.
$endgroup$
– Vaalizaadeh
Jun 11 '18 at 12:13
$begingroup$
Also take a look at here.
$endgroup$
– Vaalizaadeh
Jun 11 '18 at 12:19
$begingroup$
Hi @Media, Thank you so much for your comments. I get errror when i try to train the model model.train(input_fn= tf.estimator.inputs.numpy_input_fn(x=features,y=label,shuffle=True)) Versions: tensorflow 1.8 python 3.5.2
$endgroup$
– maswadkar
Jun 11 '18 at 14:04
$begingroup$
I guess the provided link has the answer, did you figured it out?
$endgroup$
– Vaalizaadeh
Jun 11 '18 at 14:27
$begingroup$
The error is for which line? Also please say the version of your tensorflow.
$endgroup$
– Vaalizaadeh
Jun 11 '18 at 12:13
$begingroup$
The error is for which line? Also please say the version of your tensorflow.
$endgroup$
– Vaalizaadeh
Jun 11 '18 at 12:13
$begingroup$
Also take a look at here.
$endgroup$
– Vaalizaadeh
Jun 11 '18 at 12:19
$begingroup$
Also take a look at here.
$endgroup$
– Vaalizaadeh
Jun 11 '18 at 12:19
$begingroup$
Hi @Media, Thank you so much for your comments. I get errror when i try to train the model model.train(input_fn= tf.estimator.inputs.numpy_input_fn(x=features,y=label,shuffle=True)) Versions: tensorflow 1.8 python 3.5.2
$endgroup$
– maswadkar
Jun 11 '18 at 14:04
$begingroup$
Hi @Media, Thank you so much for your comments. I get errror when i try to train the model model.train(input_fn= tf.estimator.inputs.numpy_input_fn(x=features,y=label,shuffle=True)) Versions: tensorflow 1.8 python 3.5.2
$endgroup$
– maswadkar
Jun 11 '18 at 14:04
$begingroup$
I guess the provided link has the answer, did you figured it out?
$endgroup$
– Vaalizaadeh
Jun 11 '18 at 14:27
$begingroup$
I guess the provided link has the answer, did you figured it out?
$endgroup$
– Vaalizaadeh
Jun 11 '18 at 14:27
add a comment |
2 Answers
2
active
oldest
votes
$begingroup$
x, y that goes in tf.estimator.inputs.numpy_input_fn() must be either an array or a dictionary of arrays. Quoting from the link (https://www.tensorflow.org/api_docs/python/tf/estimator/inputs/numpy_input_fn) - x: numpy array object or dict of numpy array objects. If an array, the array will be treated as a single feature.
So in your case it is treating 'feature' as a single feature. You can try this:
x1 = np.array([-1,-2])
x2 = np.array([1,2])
features = 'x1': x1, 'x2': x2
answered Jun 11 '18 at 16:19
naivenaive
2817
$endgroup$
add a comment |
$begingroup$
I found answer to my problem. I must make a change in one line and everything works
change is
model.train(input_fn= tf.estimator.inputs.numpy_input_fn(x='features' : features,
y=label,
shuffle=True))
answered Jun 12 '18 at 12:08
maswadkarmaswadkar
1062
$endgroup$
add a comment |
Your Answer
StackExchange.ifUsing("editor", function ()
return StackExchange.using("mathjaxEditing", function ()
StackExchange.MarkdownEditor.creationCallbacks.add(function (editor, postfix)
StackExchange.mathjaxEditing.prepareWmdForMathJax(editor, postfix, [["$", "$"], ["\\(","\\)"]]);
);
);
, "mathjax-editing");
StackExchange.ready(function()
var channelOptions =
tags: "".split(" "),
id: "557"
;
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: false,
noModals: true,
showLowRepImageUploadWarning: true,
reputationToPostImages: null,
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
);
);
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%2fdatascience.stackexchange.com%2fquestions%2f32942%2ferror-when-input-function-called-with-shape-2-2%23new-answer', 'question_page');
);
Post as a guest
Required, but never shown
2 Answers
2
active
oldest
votes
2 Answers
2
active
oldest
votes
active
oldest
votes
active
oldest
votes
$begingroup$
x, y that goes in tf.estimator.inputs.numpy_input_fn() must be either an array or a dictionary of arrays. Quoting from the link (https://www.tensorflow.org/api_docs/python/tf/estimator/inputs/numpy_input_fn) - x: numpy array object or dict of numpy array objects. If an array, the array will be treated as a single feature.
So in your case it is treating 'feature' as a single feature. You can try this:
x1 = np.array([-1,-2])
x2 = np.array([1,2])
features = 'x1': x1, 'x2': x2
answered Jun 11 '18 at 16:19
naivenaive
2817
$endgroup$
add a comment |
$begingroup$
x, y that goes in tf.estimator.inputs.numpy_input_fn() must be either an array or a dictionary of arrays. Quoting from the link (https://www.tensorflow.org/api_docs/python/tf/estimator/inputs/numpy_input_fn) - x: numpy array object or dict of numpy array objects. If an array, the array will be treated as a single feature.
So in your case it is treating 'feature' as a single feature. You can try this:
x1 = np.array([-1,-2])
x2 = np.array([1,2])
features = 'x1': x1, 'x2': x2
answered Jun 11 '18 at 16:19
naivenaive
2817
$endgroup$
add a comment |
$begingroup$
x, y that goes in tf.estimator.inputs.numpy_input_fn() must be either an array or a dictionary of arrays. Quoting from the link (https://www.tensorflow.org/api_docs/python/tf/estimator/inputs/numpy_input_fn) - x: numpy array object or dict of numpy array objects. If an array, the array will be treated as a single feature.
So in your case it is treating 'feature' as a single feature. You can try this:
x1 = np.array([-1,-2])
x2 = np.array([1,2])
features = 'x1': x1, 'x2': x2
answered Jun 11 '18 at 16:19
naivenaive
2817
$endgroup$
x, y that goes in tf.estimator.inputs.numpy_input_fn() must be either an array or a dictionary of arrays. Quoting from the link (https://www.tensorflow.org/api_docs/python/tf/estimator/inputs/numpy_input_fn) - x: numpy array object or dict of numpy array objects. If an array, the array will be treated as a single feature.
So in your case it is treating 'feature' as a single feature. You can try this:
x1 = np.array([-1,-2])
x2 = np.array([1,2])
features = 'x1': x1, 'x2': x2
answered Jun 11 '18 at 16:19
naivenaive
2817
answered Jun 11 '18 at 16:19
naivenaive
2817
answered Jun 11 '18 at 16:19
naivenaive
2817
answered Jun 11 '18 at 16:19
naivenaive
2817
2817
add a comment |
add a comment |
$begingroup$
I found answer to my problem. I must make a change in one line and everything works
change is
model.train(input_fn= tf.estimator.inputs.numpy_input_fn(x='features' : features,
y=label,
shuffle=True))
answered Jun 12 '18 at 12:08
maswadkarmaswadkar
1062
$endgroup$
add a comment |
$begingroup$
I found answer to my problem. I must make a change in one line and everything works
change is
model.train(input_fn= tf.estimator.inputs.numpy_input_fn(x='features' : features,
y=label,
shuffle=True))
answered Jun 12 '18 at 12:08
maswadkarmaswadkar
1062
$endgroup$
add a comment |
$begingroup$
I found answer to my problem. I must make a change in one line and everything works
change is
model.train(input_fn= tf.estimator.inputs.numpy_input_fn(x='features' : features,
y=label,
shuffle=True))
answered Jun 12 '18 at 12:08
maswadkarmaswadkar
1062
$endgroup$
I found answer to my problem. I must make a change in one line and everything works
change is
model.train(input_fn= tf.estimator.inputs.numpy_input_fn(x='features' : features,
y=label,
shuffle=True))
answered Jun 12 '18 at 12:08
maswadkarmaswadkar
1062
answered Jun 12 '18 at 12:08
maswadkarmaswadkar
1062
answered Jun 12 '18 at 12:08
maswadkarmaswadkar
1062
answered Jun 12 '18 at 12:08
maswadkarmaswadkar
1062
1062
add a comment |
add a comment |
Thanks for contributing an answer to Data Science Stack Exchange!
- 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.
Use MathJax to format equations. MathJax reference.
To learn more, see our tips on writing great answers.
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%2fdatascience.stackexchange.com%2fquestions%2f32942%2ferror-when-input-function-called-with-shape-2-2%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
$begingroup$
The error is for which line? Also please say the version of your tensorflow.
$endgroup$
– Vaalizaadeh
Jun 11 '18 at 12:13
$begingroup$
Also take a look at here.
$endgroup$
– Vaalizaadeh
Jun 11 '18 at 12:19
$begingroup$
Hi @Media, Thank you so much for your comments. I get errror when i try to train the model model.train(input_fn= tf.estimator.inputs.numpy_input_fn(x=features,y=label,shuffle=True)) Versions: tensorflow 1.8 python 3.5.2
$endgroup$
– maswadkar
Jun 11 '18 at 14:04
$begingroup$
I guess the provided link has the answer, did you figured it out?
$endgroup$
– Vaalizaadeh
Jun 11 '18 at 14:27