ilblackdragon / tf_examples Goto Github PK
View Code? Open in Web Editor NEWTensorFlow and Scikit Flow examples
License: Apache License 2.0
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Errors with Tensor Flow 0.9
Hello, I'm unable to run this example with tensor flow 9.
Here is my bug reports on tensorflow issue tracker :
TypeError: unorderable types: int() < str()
hello
v I'm unable to run this example using spyder(python3.5)
https://gist.githubusercontent.com/ilblackdragon/e956a9da159aade0c893467e49afd057/raw/c1d61db5c748e007923d3fae2fbb85e7593a9087/titanic_all_features.py
here is the error
TypeError: unorderable types: int() < str()
any suggestion please?
can the sequence-to-sequence be used for transferring numerical strings
Hello, thanks for sharing the code.
Originally, sequence-to-sequence is for language transformation. Can it be used for transforming(mapping) a numerical sequence to another numerical sequence. With respect to numerical sequence, each component of which is itself a floating value, e.g., 0.006, or 201.25, etc. In other words, can seq-to-seq be used to solve the problem such as [0.002, 0.1, 0, 100, 201] --> [-0.02, 0.3, 20]. Thanks.
what does in_list and out_list used for in seq2seq/data.py file?
i do not understand why do you so ?
Titanic with both continuous and categorical data input
Can you add an example with using both continuous data (e.g., age and fare) and categorical data (e.g., class) as input for the tensorflow neural network implementation? I have been struggling with specifically how to set up "feature_columns" for it.
no attribute 'infer_real_valued_columns_from_input'
AttributeError: module 'tensorflow.contrib.learn' has no attribute 'infer_real_valued_columns_from_input'
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