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Feature/examples #1

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11 changes: 8 additions & 3 deletions README.md
Original file line number Diff line number Diff line change
Expand Up @@ -107,11 +107,17 @@ $ python
>>> intelelm.__version__
```

### Tutorials

* Tutorials can be found inside [tutorials](./tutorials) directory.
* [Building a handwritten digits classifier using IntelELM](./tutorials/example_hand_written_digits.ipynb)
* [Building a house price predictor using IntelELM](./tutorials/example_california_housing.ipynb)

### Examples

In this section, we will explore the usage of the IntelELM model with the assistance of a dataset. While all the
* In this section, we will explore the usage of the IntelELM model with the assistance of a dataset. While all the
preprocessing steps mentioned below can be replicated using Scikit-Learn, we have implemented some utility functions
to provide users with convenience and faster usage.
to provide users with convenience and faster usage.

#### Combine IntelELM Models like a with scikit-learn functions

Expand Down Expand Up @@ -248,7 +254,6 @@ normalization when the scale of a feature is irrelevant or misleading. Feature S
the data within a particular range.



1) Where do I find the supported metrics like above ["AS", "PS", "RS"]. What is that?
You can find it here: https://github.com/thieu1995/permetrics or use this

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