khaled almgren created SYSTEMML-2532:
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Summary: NameError: name 'keras' is not defined
Key: SYSTEMML-2532
URL: https://issues.apache.org/jira/browse/SYSTEMML-2532
Project: SystemML
Issue Type: Bug
Reporter: khaled almgren
Dear,
I tried to use systeml to run a keras model as follows:
....
model.compile(optimizer= adam,
loss = 'binary_crossentropy',
keras.summary()
import systemml as sml
import keras
from systemml.mllearn import Keras2DML
from systemml import MLContext, dml, dmlFromResource, dmlFromFile, dmlFromUrl
sysml_model = Keras2DML(spark, model,input_shape=count)
sysml_model.fit(X_train, y_train)
sysml_model.score(X_test, y_test)
However, it shows an error when running:
sysml_model = Keras2DML(spark, model,input_shape=count)
in estimators. py:
in __init__(self, sparkSession, keras_model, input_shape, transferUsingDF,
load_keras_weights, weights, labels, batch_size, max_iter, test_iter,
test_interval, display, lr_policy, weight_decay, regularization_type)
NameError: name 'keras' is not defined
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