DeepSpace
A collection of search space for the DeepHyper package.
Requirements
Graphviz.
Quick Start
Generate a neural architecture space for fully connected networks with residual connections:
from deepspace.tabular import DenseSkipCoSpace
def create_search_space(input_shape=(54,), output_shape=(7,), **kwargs)
return DenseSkipCoSpace()(input_shape, output_shape, num_layers=10, dropout=0.0)
Generate a neural architecture space for AutoEncoder guided by an estimator:
from deepspace.tabular import SupervisedRegAutoEncoderSpace
factory = SupervisedRegAutoEncoderSpace()(
input_shape=(100,), output_shape=[(100), (10,)]
)
Metadata
Release files for deepspace 0.0.6
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| deepspace-0.0.6.tar.gz | 7.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| deepspace-0.0.6-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details |
Total release size: 14.5 kB
Release files / deepspace-0.0.6.tar.gz
| Download URL | deepspace-0.0.6.tar.gz |
|---|---|
| Size | 7.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.8.11
|
Release files / deepspace-0.0.6-py2.py3-none-any.whl
| Download URL | deepspace-0.0.6-py2.py3-none-any.whl |
|---|---|
| Size | 7.5 kB |
| Tags | Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.8.11
|