Skip to main content
Version: 1.0

aixplain.modules.finetune.cost

__author__

Copyright 2022 The aiXplain SDK authors

Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

Author: Duraikrishna Selvaraju, Thiago Castro Ferreira, Shreyas Sharma and Lucas Pavanelli Date: June 14th 2023 Description: FinetuneCost Class

FinetuneCost Objects

class FinetuneCost()

[view_source]

A class representing the cost structure for a fine-tuning job.

This class encapsulates the cost information for training, inference, and hosting components of a fine-tuning job. It provides methods to convert the cost data into a dictionary format for serialization.

Attributes:

  • training Dict - Dictionary containing training cost information.
  • inference Dict - Dictionary containing inference cost information.
  • hosting Dict - Dictionary containing hosting cost information.

__init__

def __init__(training: Dict, inference: Dict, hosting: Dict) -> None

[view_source]

Create a FinetuneCost object with training, inference, and hosting cost information.

Arguments:

  • training Dict - Dictionary containing training cost information.
  • inference Dict - Dictionary containing inference cost information.
  • hosting Dict - Dictionary containing hosting cost information.

to_dict

def to_dict() -> Dict

[view_source]

Convert the FinetuneCost object to a dictionary.

Returns:

  • Dict - A dictionary representation of the FinetuneCost object.