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Greemreb's avatar
Greemreb
Regular Visitor
3 years ago

Regarding ML for forecast using ARIMA model

Hello everyone,

I'm using a code written in Jupyter Notebook for forecasting demand and on the Jupyter Notebook it's working just fine, When I tried to streamline the process by using this code in synapse notebook inside the Fabric environment, I end up with the following error

 

 

3.10.10 Fitting the model... com.fasterxml.jackson.databind.exc.MismatchedInputException: No content to map due to end-of-input at [Source: (String)""; line: 1, column: 0]

 

 

I tried some solutions for my assuption which are>

1-After some research, I understand that the Fabric Notebook is running with Pyspark engine which is an architecture for disruption for Big Data. Which is not good for using regular Python packages such as statsmodels that I'm using for my model. To solve this I changed the setting of the workspace to use only 1 cluster which theoretically should behave like regular Python Environment

 

2- I thought that the environment is missing some dependencies, so I added all the needed dependencies for statsmodels in the workplace but also it didn't work.

I would be thankful if anyone can help with this. 

data science

6 Replies

  • Anonymous's avatar
    Anonymous
    Not applicable
    3 years ago

    Hi Greemreb Thanks for posting your question in Microsoft Fabric Community

    Can you please share some screenshots of the error and the exact steps you have followed 

     

    Regards

    Geetha

    • Angliss1's avatar
      Angliss1
      Regular Visitor
      2 years ago

      Hi, I have encountered a similar issue.  The code works fine in Juptyer Notebooks but not when in Fabric environment.  Mine looks like this:

      Any help would be much appreciated as struggling to find any answers

      • Anonymous's avatar
        Anonymous
        Not applicable
        2 years ago

        Hi!

        I saw the answer in another page. Run this on a cell

         

        import com.fasterxml.jackson.core.JsonParser.Feature;
import com.fasterxml.jackson.databind.ObjectMapper;

StatusResponses loginValidator = null;

ObjectMapper objectMapper = new ObjectMapper();
objectMapper.configure(Feature.AUTO_CLOSE_SOURCE, true);

try {
    String res = result.getResponseAsString();//{"status":"true","msg":"success"}
    loginValidator = objectMapper.readValue(res, StatusResponses.class);//replaced result.getResponseAsString() with res
} catch (Exception e) {
    e.printStackTrace();
} 

         
        the autor doesn't know how it worked, but it worked.

         

        It worked for me. I had the same problem

  • BoSe's avatar
    BoSe
    Frequent Visitor
    2 years ago

    Did you find a solution to that issue?

  • BoSe's avatar
    BoSe
    Frequent Visitor
    2 years ago

    I found that using the parameter disp=False worked for me.

     

    model.fit(disp=False)