.CSV files convert into python model but there is one issue columns contains string and bool values

Question

i have a .csv file , in which 12 , 3 columns have string values and 1 have bool value now i can parse .csv file according to python model. so that tensorflow operation apply on it

def parse_csv(line):
	pokemon_dataset= [[0],[""], [""], [""],  [0], [0], [0], [0], [0], [0], [0], [1]]
	line_ = tf.decode_csv(line, pokemon_dataset)
	pokemon_features = tf.reshape(line_[:-1], shape = (11,))
	pokemon_label = tf.reshape(line_[:-1] , shape = ())
	return pokemon_features,pokemon_label

i can parse like this but compiler generate error

TypeError: Cannot convert a list containing a tensor of dtype <dtype: 'string'> to <dtype: 'int32'> (Tensor is: <tf.Tensor 'DecodeCSV:1' shape=() dtype=string>)

Comments

[YouheiSakurai]

Example of line is missing to guess what causes it.

[AliHassan]

??? i don't understand

[YouheiSakurai]

You feed line to parse_csv function, right?

[AliHassan]

yeah

[YouheiSakurai]

Without it, who can have clear image of your problem? You are asking something about result without showing example of cause, that is missing piece.

[AliHassan]

okay boss i will share you my code

[AliHassan]

https://docs.google.com/document/d/1lvoUYtV8ZVyv2MOEYjDovwJ4hNoNRyOohPW1T1rA8LA/edit?usp=sharing

[YouheiSakurai]

Please review and modify your question to make it standalone. I’m considering publicity of this question. If you don’t take care about it, then it should be paid-support in my personal opinion.

[AliHassan]

i'm concern answer of my question , you can publish it where you want ...... enjoy

[AliHassan]

:)

[YouheiSakurai]

OK, our motivations are not crossed unfortunately. Thanks, enjoy your time. :)

[AliHassan]

no problem