Fix ONNX paths

Author: deliahu

docs/packaging/onnx.md

@@ -21,10 +21,7 @@ with open("sklearn.onnx", "wb") as f:
 <!-- CORTEX_VERSION_MINOR x4 -->
 Here are complete examples of converting models from some of the common ML frameworks to ONNX:
 
-* [PyTorch](https://github.com/cortexlabs/cortex/blob/master/examples/pytorch/iris-classifier-onnx/pytorch.py)
-* [Sklearn](https://github.com/cortexlabs/cortex/blob/master/examples/sklearn/iris-classifier-onnx/sklearn.py)
-* [XGBoost](https://github.com/cortexlabs/cortex/blob/master/examples/xgboost/iris-classifier-onnx/xgboost.py)
-* [Keras](https://github.com/cortexlabs/cortex/blob/master/examples/keras/iris-classifier-onnx/keras.py)
+* [XGBoost](https://colab.research.google.com/github/cortexlabs/cortex/blob/master/examples/xgboost/iris-classifier/xgboost.ipynb)
 
 Upload your exported model to Amazon S3 using the AWS web console or CLI:
 

examples/README.md

@@ -20,7 +20,7 @@
 
 ## XGBoost
 
-- [Iris classification](xgboost/iris-classifier-onnx): deploy a model to classify iris flowers (exported in ONNX).
+- [Iris classification](xgboost/iris-classifier): deploy a model to classify iris flowers (exported in ONNX).
 
 ## scikit-learn
 

examples/xgboost/iris-classifier/README.md

@@ -22,7 +22,7 @@ A `deployment` specifies a set of resources that are deployed together. An `api`
 ```
 
 <!-- CORTEX_VERSION_MINOR -->
-You can run the code that generated the exported model used in this example [here](https://colab.research.google.com/github/cortexlabs/cortex/blob/master/examples/xgboost/iris-classifier-onnx/xgboost.ipynb).
+You can run the code that generated the exported model used in this example [here](https://colab.research.google.com/github/cortexlabs/cortex/blob/master/examples/xgboost/iris-classifier/xgboost.ipynb).
 
 ## Add request handling