update readme for sklearnex

Author: Pahandrovich

README.md

@@ -6,7 +6,7 @@
 **Machine Learning Benchmarks** contains implementations of machine learning algorithms
 across data analytics frameworks.  Scikit-learn_bench can be extended to add new frameworks
 and algorithms. It currently support the [scikit-learn](https://scikit-learn.org/),
-[DAAL4PY](https://intelpython.github.io/daal4py/), [cuML](https://github.com/rapidsai/cuml),
+[DAAL4PY](https://github.com/intel/scikit-learn-intelex/tree/master/daal4py), [cuML](https://github.com/rapidsai/cuml),
 and [XGBoost](https://github.com/dmlc/xgboost) frameworks for commonly used
 [machine learning algorithms](#supported-algorithms).
 
@@ -28,7 +28,7 @@ We publish blogs on Medium, so [follow us](https://medium.com/intel-analytics-so
 
 * [Prerequisites](#prerequisites)
 * [How to create conda environment for benchmarking](#how-to-create-conda-environment-for-benchmarking)
-* [How to enable daal4py patching for scikit-learn benchmarks](#how-to-enable-daal4py-patching-for-scikit-learn-benchmarks)
+* [How to enable Intel(R) Extension for Scikit-learn* patching for scikit-learn benchmarks](#how-to-enable-sklearnex-patching-for-scikit-learn-benchmarks)
 * [Running Python benchmarks with runner script](#running-python-benchmarks-with-runner-script)
 * [Supported algorithms](#supported-algorithms)
 * [Algorithms parameters](#algorithms-parameters)
@@ -40,13 +40,13 @@ Create a suitable conda environment for each framework to test. Each item in the
 * [**scikit-learn**](sklearn_bench#how-to-create-conda-environment-for-benchmarking)
 
 ```bash
-conda create -n bench -c intel python=3.7 scikit-learn daal4py pandas
+conda create -n bench -c intel python=3.7 scikit-learn scikit-learn-intelex pandas
 ```
 
-* [**daal4py**](daal4py_bench#how-to-create-conda-environment-for-benchmarking)
+* [**Intel(R) Extension for Scikit-learn***](sklearnex_bench#how-to-create-conda-environment-for-benchmarking)
 
 ```bash
-conda create -n bench -c intel python=3.7 scikit-learn daal4py pandas
+conda create -n bench -c intel python=3.7 scikit-learn scikit-learn-intelex pandas
 ```
 
 * [**cuml**](cuml_bench#how-to-create-conda-environment-for-benchmarking)
@@ -81,6 +81,7 @@ runner options:
 
 Benchmarks currently support the following frameworks:
 * **scikit-learn**
+* **scikit-learn-intelex**
 * **daal4py**
 * **cuml**
 * **xgboost**
@@ -122,6 +123,6 @@ Run the following command:
 The list of supported parameters for each algorithm you can find here:
 
 * [**scikit-learn**](sklearn_bench#algorithms-parameters)
-* [**daal4py**](daal4py_bench#algorithms-parameters)
+* [**daal4py**](sklearnex_bench#algorithms-parameters)
 * [**cuml**](cuml_bench#algorithms-parameters)
 * [**xgboost**](xgboost_bench#algorithms-parameters)