Test Failed on CICD Pipeline with varied LinearRegression predictions

- Ref: https://stackoverflow.com/questions/73067554/test-failed-on-cicd-pipeline-with-varied-linearregression-predictions

We have a very simple use case, when we take some data `X`, `y` and fir it to `LinearRegression()` like below. and try to predict some more value.

We have set the seed to some non-zero number again mentioned below.

```py
  np.random.seed(42)
  regr = LinearRegression()
  regr.fit(x, y)
  
  pred = regr.predict(pred_set)[0]
```

The above prediction where as always same in one machine, changes when ran from different machine, specifically when we ran it in some CICD test pipeline on cloud environment.

As per my understanding, setting seed to a specific number should confirm the reproducibility, but is there anything I am missing here. Or If I need to set seed in some other way.

Kindly, let me know.

COMMENT:
Here is details of two different machine I tried to run on: Please Note, one is local machine and another one is from docker container. Please find all the data asked for below.

1: DATA TRAINED ON:  
`balanceDay` and `balanceIn` are the input and trying to predict some future output for future `balanceDay` with value in `balanceOut`.

<details>
    <summary>Data trained on </summary>

```json
 [
    {
      "balanceIn": 0.0,
      "balanceOut": -3799.2,
      "balanceDay": "2020-07-21"
    },
    {
      "balanceIn": -3799.2,
      "balanceOut": -3799.2,
      "balanceDay": "2020-07-22"
    },
    {
      "balanceIn": -3799.2,
      "balanceOut": -3799.2,
      "balanceDay": "2020-07-23"
    },
    {
      "balanceIn": -3799.2,
      "balanceOut": -3799.2,
      "balanceDay": "2020-07-24"
    },
    {
      "balanceIn": -3799.2,
      "balanceOut": -3799.2,
      "balanceDay": "2020-07-25"
    },
    {
      "balanceIn": -3799.2,
      "balanceOut": -3799.2,
      "balanceDay": "2020-07-26"
    },
    {
      "balanceIn": -3799.2,
      "balanceOut": -3799.2,
      "balanceDay": "2020-07-27"
    },
    {
      "balanceIn": -3799.2,
      "balanceOut": -3799.2,
      "balanceDay": "2020-07-28"
    },
    {
      "balanceIn": -3799.2,
      "balanceOut": -3799.2,
      "balanceDay": "2020-07-29"
    },
    {
      "balanceIn": -3799.2,
      "balanceOut": -3799.2,
      "balanceDay": "2020-07-30"
    },
    {
      "balanceIn": -3799.2,
      "balanceOut": -3799.2,
      "balanceDay": "2020-07-31"
    },
    {
      "balanceIn": -3799.2,
      "balanceOut": -3799.2,
      "balanceDay": "2020-08-01"
    },
    {
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      "balanceOut": -3799.2,
      "balanceDay": "2020-08-02"
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      "balanceDay": "2020-08-03"
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      "balanceDay": "2020-08-04"
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      "balanceOut": -3799.2,
      "balanceDay": "2020-08-05"
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      "balanceDay": "2020-08-07"
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```
</details>

2: PREDICTIONS (SOME FORECASTED VALUE)

<details>
    <summary>Predictions</summary>

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        {
            "balanceDay": "2021-11-25",
            "balanceOut": 875370.0364779874,
            "breachAmount": 0.0
        },
        {
            "balanceDay": "2021-11-26",
            "balanceOut": 904028.0364779874,
            "breachAmount": 0.0
        },
        {
            "balanceDay": "2021-11-27",
            "balanceOut": 949736.0364779874,
            "breachAmount": 0.0
        },
        {
            "balanceDay": "2021-11-28",
            "balanceOut": 984080.0364779874,
            "breachAmount": 0.0
        },
        {
            "balanceDay": "2021-11-29",
            "balanceOut": 1027216.0364779874,
            "breachAmount": 0.0
        }
    ]
```

</details>

3: Predictions are some future value of current fit. Mostly numbers and same as input X.
5: SCIKIT Configuration:
`LOCAL MACHINE`: 

<details>
    <summary>Local Machine</summary>

```
System:
    python: 3.9.10 (tags/v3.9.10:f2f3f53, Jan 17 2022, 15:14:21) [MSC v.1929 64 bit (AMD64)]  
executable: C:\Users\JyotirmaySenapati\Desktop\Work\ds_rnd\openapi-time-series-forecasting.ds\.venv\Scripts\python.exe
   machine: Windows-10-10.0.19044-SP0

Python dependencies:
      sklearn: 1.1.1
          pip: 22.1.2
   setuptools: 62.6.0
        numpy: 1.22.3
        scipy: 1.8.1
       Cython: 0.29.30
       pandas: 1.4.2
   matplotlib: 3.5.1
       joblib: 1.1.0
threadpoolctl: 3.1.0

Built with OpenMP: True

threadpoolctl info:
       user_api: openmp
   internal_api: openmp
         prefix: vcomp
       filepath: C:\Users\JyotirmaySenapati\Desktop\Work\ds_rnd\openapi-time-series-forecasting.ds\.venv\Lib\site-packages\sklearn\.libs\vcomp140.dll
        version: None
    num_threads: 8

       user_api: blas
   internal_api: openblas
         prefix: libopenblas
       filepath: C:\Users\JyotirmaySenapati\Desktop\Work\ds_rnd\openapi-time-series-forecasting.ds\.venv\Lib\site-packages\numpy\.libs\libopenblas.EL2C6PLE4ZYW3ECEVIV3OXXGRN2NRFM2.gfortran-win_amd64.dll
        version: 0.3.18
threading_layer: pthreads
   architecture: Haswell
    num_threads: 8

       user_api: blas
   internal_api: openblas
         prefix: libopenblas
       filepath: C:\Users\JyotirmaySenapati\Desktop\Work\ds_rnd\openapi-time-series-forecasting.ds\.venv\Lib\site-packages\scipy\.libs\libopenblas.XWYDX2IKJW2NMTWSFYNGFUWKQU3LYTCZ.gfortran-win_amd64.dll
        version: 0.3.17
threading_layer: pthreads
   architecture: Haswell
    num_threads: 8
```

</details>


<details>
    <summary>Docker</summary>

```System:
    python: 3.9.13 (main, Jun 23 2022, 11:33:37)  [GCC 8.3.0]
executable: /usr/local/bin/python
   machine: Linux-5.10.102.1-microsoft-standard-WSL2-x86_64-with-glibc2.28

Python dependencies:
      sklearn: 1.1.1
          pip: 22.0.4
   setuptools: 62.6.0
        numpy: 1.22.3
        scipy: 1.8.1
       Cython: 0.29.30
       pandas: 1.4.2
   matplotlib: 3.5.1
       joblib: 1.1.0
threadpoolctl: 3.1.0

Built with OpenMP: True

threadpoolctl info:
       user_api: openmp
   internal_api: openmp
         prefix: libgomp
       filepath: /usr/local/lib/python3.9/site-packages/scikit_learn.libs/libgomp-a34b3233.so.1.0.0
        version: None
    num_threads: 8

       user_api: blas
   internal_api: openblas
         prefix: libopenblas
       filepath: /usr/local/lib/python3.9/site-packages/numpy.libs/libopenblas64_p-r0-2f7c42d4.3.18.so
        version: 0.3.18
threading_layer: pthreads
   architecture: Haswell
    num_threads: 8

       user_api: blas
   internal_api: openblas
         prefix: libopenblas
       filepath: /usr/local/lib/python3.9/site-packages/scipy.libs/libopenblasp-r0-8b9e111f.3.17.so
        version: 0.3.17
threading_layer: pthreads
   architecture: Haswell
    num_threads: 8

```

</details>


6: SciPy config

<details>
    <summary>Local Machine</summary>

```
lapack_mkl_info:
  NOT AVAILABLE
openblas_lapack_info:
    library_dirs = ['C:\\projects\\scipy-wheels\\scipy\\build\\openblas_lapack_info']
    libraries = ['openblas_lapack_info']
    language = f77
    define_macros = [('HAVE_CBLAS', None)]
lapack_opt_info:
    library_dirs = ['C:\\projects\\scipy-wheels\\scipy\\build\\openblas_lapack_info']
    libraries = ['openblas_lapack_info']
    language = f77
    define_macros = [('HAVE_CBLAS', None)]
blas_mkl_info:
  NOT AVAILABLE
blis_info:
  NOT AVAILABLE
openblas_info:
    library_dirs = ['C:\\projects\\scipy-wheels\\scipy\\build\\openblas_info']       
    libraries = ['openblas_info']
    language = f77
    define_macros = [('HAVE_CBLAS', None)]
blas_opt_info:
    library_dirs = ['C:\\projects\\scipy-wheels\\scipy\\build\\openblas_info']       
    libraries = ['openblas_info']
    language = f77
    define_macros = [('HAVE_CBLAS', None)]
```

</details>


<details>
    <summary>Docker </summary>

`DOCKER`:
```
lapack_mkl_info:
  NOT AVAILABLE
openblas_lapack_info:
    libraries = ['openblas', 'openblas']
    library_dirs = ['/usr/local/lib']
    language = c
    define_macros = [('HAVE_CBLAS', None)]
    runtime_library_dirs = ['/usr/local/lib']
lapack_opt_info:
    libraries = ['openblas', 'openblas']
    library_dirs = ['/usr/local/lib']
    language = c
    define_macros = [('HAVE_CBLAS', None)]
    runtime_library_dirs = ['/usr/local/lib']
blas_mkl_info:
  NOT AVAILABLE
blis_info:
  NOT AVAILABLE
openblas_info:
    libraries = ['openblas', 'openblas']
    library_dirs = ['/usr/local/lib']
    language = c
    define_macros = [('HAVE_CBLAS', None)]
    runtime_library_dirs = ['/usr/local/lib']
blas_opt_info:
    libraries = ['openblas', 'openblas']
    library_dirs = ['/usr/local/lib']
    language = c
    define_macros = [('HAVE_CBLAS', None)]
    runtime_library_dirs = ['/usr/local/lib']
```

</details>

Labels: module:linear_model, Needs Investigation