H2O makes Hadoop do math! H2O scales statistics, machine learning and math over BigData. H2O is extensible and users can build blocks using simple math legos in the core. H2O keeps familiar interfaces like python, R, Excel & JSON so that BigData enthusiasts & experts can explore, munge, model and score datasets using a range of simple to advanced algorithms. Data collection is easy. Decision making is hard. H2O makes it fast and easy to derive insights from your data through faster and better predictive modeling. H2O has a vision of online scoring and modeling in a single platform.
1 maintainer
Metadata
1 maintainer
Release files for h2o 3.28.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| h2o-3.28.0.1.tar.gz | 123.4 MB | Without provenance | Details |
Release files / h2o-3.28.0.1.tar.gz
| Download URL | h2o-3.28.0.1.tar.gz |
|---|---|
| Size | 123.4 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
472b717593dba26cc78397204ef1588f6d382eaf78fd52425863e348d17ba16e
|
|
BLAKE2b-256 checksum How to use checksums |
6bd1aaa74df4716b2454d6034261807ef3855d014862c801f0e9b803b568006d
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.10.0 pkginfo/1.5.0.1 requests/2.20.0 setuptools/41.4.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.5.2
|
Security for h2o 3.28.0.1
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.
