Originally created by @mukul74 on GitHub (Aug 25, 2022).
I am running the tagifai.ipynb notebook on the windows platform but facing difficulty viewing the experiment in MLflow.
Steps Done:
Cloned the repo
Running the "mlops-course\notebooks\tagifai.ipynb" in vs code locally.
To run the server "mlflow server -h 0.0.0.0 -p 8000 --backend-store-uri /experiments/" from the location of the notebook, experiments is the next folder inside it. # $PWD is omitted because of windows.
Originally created by @mukul74 on GitHub (Aug 25, 2022).
I am running the tagifai.ipynb notebook on the **windows** platform but facing difficulty viewing the experiment in MLflow.
**Steps Done**:
1. Cloned the repo
2. Running the "`mlops-course\notebooks\tagifai.ipynb`" in vs code locally.
3. To run the server "`mlflow server -h 0.0.0.0 -p 8000 --backend-store-uri /experiments/`" from the location of the notebook, experiments is the next folder inside it. # $PWD is omitted because of windows.
4. Opening the "http://localhost:8000/#/"
**Observation** :
1. No signs of experiment run.
2. Image attached below for ref.

Please provide assistance with this issue.
Thanks
Let me know if that works! I'll add this tip to the notebook as well but definitely check out the website lessons as your go through the code because I try not to add too much text on the notebooks to avoid clutter.
@GokuMohandas commented on GitHub (Aug 25, 2022):
Hi @mukul74, hmm I've heard from few others who had trouble running MLFLow on Windows as well. Have you tried the "Tip" on this page: https://madewithml.com/courses/mlops/experiment-tracking/#application
On Windows, the last line where we set the tracking URI should have three forwards slashes:
```python
mlflow.set_tracking_uri("file:///" + str(MODEL_REGISTRY.absolute()))
```
Let me know if that works! I'll add this tip to the notebook as well but definitely check out the website lessons as your go through the code because I try not to add too much text on the notebooks to avoid clutter.
Hi @GokuMohandas, thanks for the suggestion. Yeah I have implemented the mlflow.set_tracking_uri("file:///" + str(MODEL_REGISTRY.absolute()))
Since in windows, $PWD will not work, so we have to provide the absolute path mlflow server -h 127.0.0.1 -p 8000 --backend-store-uri file:///c:\D_drive\Practise\MLops\mlops-course\notebooks\experiments/
Output :
@mukul74 commented on GitHub (Aug 25, 2022):
Hi @GokuMohandas, thanks for the suggestion. Yeah I have implemented the
`mlflow.set_tracking_uri("file:///" + str(MODEL_REGISTRY.absolute()))`
Since in windows, $PWD will not work, so we have to provide the absolute path
`mlflow server -h 127.0.0.1 -p 8000 --backend-store-uri file:///c:\D_drive\Practise\MLops\mlops-course\notebooks\experiments/`
**Output** :

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Originally created by @mukul74 on GitHub (Aug 25, 2022).
I am running the tagifai.ipynb notebook on the windows platform but facing difficulty viewing the experiment in MLflow.
Steps Done:
mlops-course\notebooks\tagifai.ipynb" in vs code locally.mlflow server -h 0.0.0.0 -p 8000 --backend-store-uri /experiments/" from the location of the notebook, experiments is the next folder inside it. # $PWD is omitted because of windows.Observation :
Please provide assistance with this issue.
Thanks
@GokuMohandas commented on GitHub (Aug 25, 2022):
Hi @mukul74, hmm I've heard from few others who had trouble running MLFLow on Windows as well. Have you tried the "Tip" on this page: https://madewithml.com/courses/mlops/experiment-tracking/#application
On Windows, the last line where we set the tracking URI should have three forwards slashes:
Let me know if that works! I'll add this tip to the notebook as well but definitely check out the website lessons as your go through the code because I try not to add too much text on the notebooks to avoid clutter.
@mukul74 commented on GitHub (Aug 25, 2022):
Hi @GokuMohandas, thanks for the suggestion. Yeah I have implemented the
mlflow.set_tracking_uri("file:///" + str(MODEL_REGISTRY.absolute()))Since in windows, $PWD will not work, so we have to provide the absolute path
mlflow server -h 127.0.0.1 -p 8000 --backend-store-uri file:///c:\D_drive\Practise\MLops\mlops-course\notebooks\experiments/Output :
