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README: Update status section
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@@ -7,13 +7,14 @@ The goal is to enable applications to run ML inference on the microcontroller,
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without having to touch any C code.
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## Status
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**Proof of Concept**
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**Minimally useful**
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- Can run RandomForest/DecisionTree
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- Pre-built modules are available for the most common
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- Can perform classification with [RandomForest](https://en.wikipedia.org/wiki/Random_forest)/DecisionTree models
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- Installable as a MicroPython native module. No rebuild/flashing needed
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- Models can be loaded at runtime from a .CSV file in disk/flash
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- Pre-built modules are available for the most common architectures/devices
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- Has been tested on `armv6m` (RP2040) and `x64` (Unix port)
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Or contribute yourself!
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## Prerequisites
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