No project description provided
Project description
🧪 funcnodes-chemprop
funcnodes-chemprop is a funcnodes module that integrates the Chemprop deep learning framework for molecular property prediction into node-based pipelines. It allows you to load molecular data, featurize molecules, train a Chemprop model, and predict properties — all in an interactive, no-code/low-code environment powered by FuncNodes.
🧑💻 Developer Notes
We currently face issues if you use this module on Mac with enabled Metal Performance Shaders, we hope to be able to resolve this soon.
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file funcnodes_chemprop-0.1.3.tar.gz.
File metadata
- Download URL: funcnodes_chemprop-0.1.3.tar.gz
- Upload date:
- Size: 22.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/6.1.0 CPython/3.12.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
4705db255c1fcf1b44759282276f635c0d5d919b477237d4a6a468eb1253050c
|
|
| MD5 |
e067f9bd8f929a742a2d29bce581099d
|
|
| BLAKE2b-256 |
d276985474537c75143eb31be410c71b4b52947dabcdee23fdf86b07eb1f0dfe
|
Provenance
The following attestation bundles were made for funcnodes_chemprop-0.1.3.tar.gz:
Publisher:
version_publish_main.yml on Linkdlab/funcnodes_chemprop
-
Statement:
-
Statement type:
https://in-toto.io/Statement/v1 -
Predicate type:
https://docs.pypi.org/attestations/publish/v1 -
Subject name:
funcnodes_chemprop-0.1.3.tar.gz -
Subject digest:
4705db255c1fcf1b44759282276f635c0d5d919b477237d4a6a468eb1253050c - Sigstore transparency entry: 197864666
- Sigstore integration time:
-
Permalink:
Linkdlab/funcnodes_chemprop@c03ac9b09a6d8b4eb3f2166a55682b04a61acd70 -
Branch / Tag:
refs/heads/main - Owner: https://github.com/Linkdlab
-
Access:
public
-
Token Issuer:
https://token.actions.githubusercontent.com -
Runner Environment:
github-hosted -
Publication workflow:
version_publish_main.yml@c03ac9b09a6d8b4eb3f2166a55682b04a61acd70 -
Trigger Event:
push
-
Statement type:
File details
Details for the file funcnodes_chemprop-0.1.3-py3-none-any.whl.
File metadata
- Download URL: funcnodes_chemprop-0.1.3-py3-none-any.whl
- Upload date:
- Size: 18.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/6.1.0 CPython/3.12.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
9b19145f18f755830fb413edebb1a976a425458ce9d5eac71322be17300324d8
|
|
| MD5 |
6d1a875520030f657d18bd36fa39e6c7
|
|
| BLAKE2b-256 |
3a0d57b660421e48b9c4a767f40cfef918ba30a9bef792abf7a77735b81a4bd6
|
Provenance
The following attestation bundles were made for funcnodes_chemprop-0.1.3-py3-none-any.whl:
Publisher:
version_publish_main.yml on Linkdlab/funcnodes_chemprop
-
Statement:
-
Statement type:
https://in-toto.io/Statement/v1 -
Predicate type:
https://docs.pypi.org/attestations/publish/v1 -
Subject name:
funcnodes_chemprop-0.1.3-py3-none-any.whl -
Subject digest:
9b19145f18f755830fb413edebb1a976a425458ce9d5eac71322be17300324d8 - Sigstore transparency entry: 197864668
- Sigstore integration time:
-
Permalink:
Linkdlab/funcnodes_chemprop@c03ac9b09a6d8b4eb3f2166a55682b04a61acd70 -
Branch / Tag:
refs/heads/main - Owner: https://github.com/Linkdlab
-
Access:
public
-
Token Issuer:
https://token.actions.githubusercontent.com -
Runner Environment:
github-hosted -
Publication workflow:
version_publish_main.yml@c03ac9b09a6d8b4eb3f2166a55682b04a61acd70 -
Trigger Event:
push
-
Statement type:
