Say Goodbye to Collapsed Metrics: Track Your Time-Series Predictions over Timeappliedexploration.com 9 pointsszemy23 years ago4 commentsSaveHideCopy link On HNComments−szemy2OP3yHi HN,We realised that tracking the performance of our predictions over time was crucial to choose, debug and fine-tune our forecasting model.So we built Krisi (https://github.com/dream-faster/krisi) to help you with tracking metrics over time and generate informative reports.We'll be here answering questions - would love to hear your feedback!−szemy2OP3yWe also used krisi to run this Energy Forecasting walkthrough: https://colab.research.google.com/drive/1CVhxOmbHO9PvsdHfGvR...−szemy2OP3yKrisi is also licenced under MIT with Commons Clause.−legothief3yHi! I'm also here (other co-founder of the company/project), we'd love to understand if this is a problem only we encountered - or others also need to keep track of their simulated model performance over time!
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Hi HN,
We realised that tracking the performance of our predictions over time was crucial to choose, debug and fine-tune our forecasting model.
So we built Krisi (https://github.com/dream-faster/krisi) to help you with tracking metrics over time and generate informative reports.
We'll be here answering questions - would love to hear your feedback!
We also used krisi to run this Energy Forecasting walkthrough: https://colab.research.google.com/drive/1CVhxOmbHO9PvsdHfGvR...
Krisi is also licenced under MIT with Commons Clause.
Hi! I'm also here (other co-founder of the company/project), we'd love to understand if this is a problem only we encountered - or others also need to keep track of their simulated model performance over time!