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from pyspark.ml.classification import LogisticRegression
from pyspark.ml import Pipeline
from sparkdl import DeepImageFeaturizer
featurizer = DeepImageFeaturizer(inputCol="image", outputCol="features", modelName="InceptionV3")
lr = LogisticRegression(maxIter=10, regParam=0.05, elasticNetParam=0.3, labelCol="label")
p = Pipeline(stages=[featurizer, lr])
p_model = p.fit(train_df)
@Faheemkhaskheli

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Faheemkhaskheli commented Aug 30, 2019

i am getting this error on google colab, i can only install spark 0.2.2 version,
can you help how can i solve this error

from sparkdl import DeepImageFeaturizer
AttributeError: module 'sparkdl' has no attribute 'graph'

@taiwotman

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taiwotman commented Sep 26, 2019

I faced a similar issue using Sparkdl. It seems the keras_image.py, where the error comes from, has been modified without the sparkdl graph attribute.
See: keras_image

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