TypeError: get_decimal_precisions() got an unexpected keyword argument 'output_type'

[etheng-jiao]

d = dice_ml.Data(dataframe=pipdata, continuous_features=['A','B','C','D','E','F','H','I','J','K'],outcome_name='G')from tensorflow.keras.models import Sequential
from tensorflow.python.keras.layers import Dense
from tensorflow.python.keras.wrappers.scikit_learn import KerasRegressor
import tensorflow.compat.v1 as tf
tf.compat.v1.logging.set_verbosity(tf.compat.v1.logging.ERROR)
from sklearn.model_selection import train_test_split
sess = tf.InteractiveSession()

Generating train and test data

datasetX = pipdata.drop("G",axis=1)
datasetY = pipdata["G"]

X_train,X_test,Y_train,Y_test = train_test_split(datasetX,datasetY,test_size=0.2,random_state=0)

Fitting a dense neural network model

ann_model = Sequential()
ann_model.add(Dense(6, input_shape=(X_train.shape[1],), activation=tf.nn.relu))
ann_model.add(Dense(1, activation=tf.nn.sigmoid))
ann_model.compile(loss='binary_crossentropy', optimizer='adam', metrics=['accuracy'])
history=ann_model.fit(X_train, y_train, validation_split=0.20, epochs=30, verbose=0)
#, class_weight={0:1,1:2})
history
m = dice_ml.Model(model=ann_model,backend='sklearn')

new_d = dice_ml.Data(features={
'A':[-130, 4500],
'B':[-150,7000],
'C':[-54,6200],
'D':[-150,8900],
'E':[-26,1250],
'F':[-26,2545],
'H':[-625,8270],
'I':[-30,1581],
'J':[-135,7364],
'K':[-72,4666]},
outcome_name='G')
exp = dice_ml.Dice(new_d,m)
exp

---> 37 self.precisions = self.data_interface.get_decimal_precisions(output_type="dict")
38 if self.data_interface.outcome_name in self.precisions:
39 self.outcome_precision = [self.precisions[self.data_interface.outcome_name]]

TypeError: get_decimal_precisions() got an unexpected keyword argument 'output_type'

[amit-sharma]

@etheng-jiao if you are using tensorflow, then need to set the backend to TF1 (for tensorflow v1) or TF2.

m = dice_ml.Model(model=ann_model,backend='TF1')

[amit-sharma]

Did the fix above work for you @etheng-jiao ?

[etheng-jiao]

Yeah, sorry for my late. The problem is about tensorflow2

…

2021年5月6日 上午9:51，Amit Sharma ***@***.***> 写道： Did the fix above work for you @etheng-jiao <https://github.com/etheng-jiao> ? — You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub <#129 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/ASBO5OYUVCAD5CCUA3SNV73TMJDBHANCNFSM43ZWVGDA>.

[gaugup]

@etheng-jiao did you give a try with 'TF2' when initializing the dice-ml model? Are you unblocked? If so, could you close this issue?