oracle / accelerated-data-science

ADS is the Oracle Data Science Cloud Service's python SDK supporting, model ops (train/eval/deploy), along with running workloads on Jobs and Pipeline resources.

https://accelerated-data-science.readthedocs.io/

oracle/accelerated-data-science Issues

[Bug]: Validation error in GenericModel.save when the python version is >= 3.10
Updated 3 months ago2
[FR]: Add wait for an arbitrary state during the watch for job/job run/deployment request
Updated 4 months ago
[FR]: Make Cancel and Delete job/job run methods more transparent.
Updated 4 months ago
[FR]: Option to flter job/job runs by name (preferable regexp)
Updated 4 months ago
[Bug]: List methods ignores limit kwarg
Updated 4 months ago
[Bug]: forcing dependency on pyyaml 6< to 5.4.1 gives cython issue while building version 5.4.1
Closed a year ago2
[FR]: Enable overwriting parameters in ads opctl run for Data Science Jobs, Pipelines and Data Flow Applications.
Updated a year ago
Distributed training local test does not support source code from Git repo or OCI object storage
Closed a year ago1
[Bug]: ModuleNotFoundError: No module named 'mlx'
Closed a year ago1
ads.to_sql with replace option not reading complete dataset
Closed 2 years ago2
prepare_generic_model() throws error in Oracle Cloud Infrastructure DataScience Jobs
Closed 2 years ago2
Private reporting of a security issue
Closed 2 years ago7
ADS set_auth() is failing on resource_principal
Closed 2 years ago3
Inconsistency of the GenericModel.predict(data) in ADS 2.6.2 and 2.6.6 versions.
Closed 2 years ago1
Allowing all parameters from `CreateApplicationDetails` to be passed through `prepare_app`
Closed 2 years ago1
AttributeError: type object 'JobInfrastructureConfigurationDetails' has no attribute 'JOB_INFRASTRUCTURE_TYPE_ME_STANDALONE'
Closed 2 years ago3