Hi Team,
I am getting the following error from the model.fit code.
Any help would be great !
Tensorflow version is
TensorFlow: 2.4.1
Keras: 2.4.0
Python: 3.8.13
Xgboost: 1.7.5
numpy ver: 1.22.4
system : Linux
Platform : Linux-5.15.0-76-generic-x86_64-with-glibc2.17
=============
code :
import xgboost as xgb
model_xgb = xgb.XGBClassifier()
early_stopping = tf.keras.callbacks.EarlyStopping(
monitor=‘val_accuracy’,
mode=‘max’,
patience=6
)
history = model_xgb.fit(X_for_training, y_train, epochs=25, batch_size=32, verbose=2,callbacks=[early_stopping])
===========
log & error:
TypeError Traceback (most recent call last)
Input In [60], in <cell line: 11>()
3 model_xgb = xgb.XGBClassifier()
5 early_stopping = tf.keras.callbacks.EarlyStopping(
6 monitor=‘val_accuracy’,
7 mode=‘max’,
8 patience=6
9 )
—> 11 history = model_xgb.fit(X_for_training, y_train, epochs=25, batch_size=32, verbose=2,callbacks=[early_stopping])
File ~/miniconda3/lib/python3.8/site-packages/xgboost/core.py:620, in require_keyword_args..throw_if..inner_f(*args, **kwargs)
618 for k, arg in zip(sig.parameters, args):
619 kwargs[k] = arg
→ 620 return func(**kwargs)
TypeError: fit() got an unexpected keyword argument ‘epochs’