dpdata_ani
The dpdata plugin for ANI.
Features
ani/1xformat to load ANI-1x datasetani/1x,ani/2x, andani/1ccxdriver to predict using ANI models with automatic batch sizeaiqm1driver for AIQM1 which is based on ANI
Installation
pip install dpdata-ani
To enable AIQM1,
pip install dpdata-ani[aiqm1]
Usage
First, download ANI-1x dataset:
wget https://figshare.com/ndownloader/files/18112775 -O ani1x.hdf5
Load the ANI-1x dataset, and predict it with ANI-2x models:
import dpdata
ani = dpdata.MultiSystems().from_ani_1x("ani1x.hdf5")
predict = ani.predict(driver="ani/2x")
predict.to_deepmd_hdf5("predict.hdf5")
The inferred data will be stored in predict.hdf5.
Metadata
Release files for dpdata-ani 0.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| dpdata-ani-0.1.1.tar.gz | 390.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| dpdata_ani-0.1.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 402.5 kB
Release files / dpdata-ani-0.1.1.tar.gz
| Download URL | dpdata-ani-0.1.1.tar.gz |
|---|---|
| Size | 390.2 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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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.11.0
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Release files / dpdata_ani-0.1.1-py3-none-any.whl
| Download URL | dpdata_ani-0.1.1-py3-none-any.whl |
|---|---|
| Size | 12.3 kB |
| Tags | 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/4.0.1 CPython/3.11.0
|