Keras extension for OpenML python

Installation Instructions:

pip install openml-keras

PyPi link https://pypi.org/project/openml-keras/

Usage

Import openML libraries

import openml
import openml_keras

Create and compile a keras model

model = keras.models.Sequential([
    keras.layers.BatchNormalization(),
    keras.layers.Dense(units=1024, activation=keras.activations.relu),
    keras.layers.Dropout(rate=0.4),
    keras.layers.Dense(units=2, activation=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))

Note: The input layer of the network should be compatible with OpenML data output shape. Please check examples for more information.

Release files for openml-keras 0.0.7

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for openml-keras 0.0.7
File	Size	Uploaded
openml-keras-0.0.7.tar.gz	13.3 kB	Mar 10, 2021	Details

Release files / openml-keras-0.0.7.tar.gz

Download URL	openml-keras-0.0.7.tar.gz
Size	13.3 kB
Tags	Source
SHA-256 checksum How to use checksums	`138f21f5fff6b1baa04bf96873bf84eed7666b8d71340fc5492c46ba3fb499c6`
BLAKE2b-256 checksum How to use checksums	`018c02742ee76778bfd2a5d5a86d7d61f777524a258f2c84a6931e02f6defba6`
Upload date	Mar 10, 2021
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/3.3.0 pkginfo/1.7.0 requests/2.25.0 setuptools/51.0.0.post20201207 requests-toolbelt/0.9.1 tqdm/4.58.0 CPython/3.7.9`