Description:
openmltensorflow 0.0.2
Tensorflow extension for OpenML python
Tensorflow extension for openml-python API.
Installation Instructions:
pip install openml-tensorflow
PyPi link https://pypi.org/project/openml-keras/
Usage
Import openML libraries
import openml
import openml_tensorflow
Create and compile a keras model
model = tensorflow.keras.models.Sequential([
tensorflow.keras.layers.BatchNormalization(),
tensorflow.keras.layers.Dense(units=1024, activation=tensorflow.keras.activations.relu),
tensorflow.keras.layers.Dropout(rate=0.4),
tensorflow.keras.layers.Dense(units=2, activation=tensorflow.keras.activations.softmax),
])
# We will compile using the Adam optimizer while targeting accuracy.
model.compile(optimizer='adam',
loss='sparse_categorical_crossentropy',
metrics=['accuracy'])
Download the task from openML and run the model on task.
task = openml.tasks.get_task(3573)
run = openml.runs.run_model_on_task(model, task, avoid_duplicate_runs=False)
run.publish()
print('URL for run: %s/run/%d' % (openml.config.server, run.run_id))
This library is currently under development, please report any bugs or feature reuest in issues section.
License
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
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