V0.0.14

Experiments

• Median Ensemble Experiment on GIFT-Eval: Introduced a median ensemble experiment on GIFT-Eval. For more details, refer to #152.

Features

• Custom Forecaster Integration: Users can now integrate specific models into the agent for evaluation and utilization through the forecasters argument in TimeCopilot's constructor. See #153.

  from timecopilot import TimeCopilot
  from timecopilot.models.benchmarks import SeasonalNaive
  from timecopilot.models.foundational.toto import Toto
  
  tc = TimeCopilot(
      llm="openai:gpt-4o",
      forecasters=[
          SeasonalNaive(),
          Toto(),
      ]
  )
  tc.forecast(
      df="https://timecopilot.s3.amazonaws.com/public/data/air_passengers.csv", 
      h=12,
  )
  result = tc.query("What is the best model for monthly data?")
  print(result.output)
  

Fixes

• Restore CLI Prettify Functionality: Resolved an issue with the prettify method affecting the CLI. This fix is included in the current release. See #154.

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Full Changelog: https://github.com/AzulGarza/timecopilot/compare/v0.0.13...v0.0.14