Keras extension for OpenML python
Keras extension for openml-python API.
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.
4 maintainers
Metadata
4 maintainers
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)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| openml-keras-0.0.7.tar.gz | 13.3 kB | Without provenance | Details for openml-keras-0.0.7.tar.gz |
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 | |
|
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
|
Security for openml-keras 0.0.7
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
