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---
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license: mit
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tags:
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- elixir
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- axon
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- nx
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---
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# Compute Resource Placement Model (CRPM)
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This is a basic Logicstic Regression model that predicts the placement of a compute resource in a compute cluster. The model is trained using the `axon` library in Elixir. The model is trained on data observed from a compute cluster mixed with some synthetic data.
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The synthetic data is used to dictate the expected behaviour of the model to generalize over since we know the expected outcome.
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The advantage of solving this problem with an AI model is the following:
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1. There is much less code to write and maintain.
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2. The model can be retrained with new data when we want to add new feature we simply add columns to the dataset and off we go.
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While it is possible to solve this problem with a rule-based system, the amount of code required to maintain and the complexity of the code would be much higher hence this solution.
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## Source Code
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The source code is available on github [Opsmo](https://github.com/upmaru/opsmo)
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