Documentation
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Index ¶
Constants ¶
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Variables ¶
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Functions ¶
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Types ¶
type CommitInfo ¶
type CommitInfo struct {
CommitID string
}
type ModelTrainer ¶
type ModelTrainer struct {
// contains filtered or unexported fields
}
func NewModelTrainer ¶
func NewModelTrainer( trainAPIClient train_api_client.Client, connAPIClient conn_api_client.Client, trainerConfig config.TrainerConfig) *ModelTrainer
func (*ModelTrainer) DownloadAlgorithm ¶
func (mt *ModelTrainer) DownloadAlgorithm(k8sTraining *training.K8sTrainer) error
func (*ModelTrainer) SaveResult ¶
func (mt *ModelTrainer) SaveResult() error
This function saves a training result. To do this, it performs the following steps:
- It extracts the training entity from repository storage, for example, from the API server.
- It creates the training zip archive.
- It uploads the training zip archive to object storage.
- Finally, it saves the training entity results.
func (*ModelTrainer) Setup ¶
func (mt *ModelTrainer) Setup() (err error)
This function prepares a training environment. To do this, it performs the following steps:
- It extracts the training entity from repository storage, for example, from the API server.
- It downloads the source code of model training.
- The setup function downloads all training data.
- Finally, it saves the training entity to allow an ML toolchain to use it.
Source Files
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