several issue

### Describe the bug or the issue that you are facing

1- you need update initialise-project.yml since the pipeline is failed and says already we have taxi-fare-regression repo
2- install-az-cli.yml need to be updated since fail because version issue , I changed to the following ans worked
steps:
- task: AzureCLI@2
displayName: Install AZ ML dependencies
inputs:
azureSubscription: $(ado_service_connection_aml_ws)
scriptType: bash
scriptLocation: inlineScript
workingDirectory: $(System.DefaultWorkingDirectory)
inlineScript: |
set -e # fail on error

# Upgrade pip once
python -m pip install -U --force-reinstall pip

# Install dependencies with a compatible version of cryptography
pip install azure-cli==2.35 azure-ai-ml==1.1.0 azure-common==1.1.28 \
azure-core==1.26.1 azure-identity==1.10.0 \
azure-mgmt-core==1.3.0 azure-storage-blob==12.14.1 \
azure-storage-file-datalake==12.9.1 azure-storage-file-share==12.7.0 \
pyOpenSSL==23.2.0 cryptography==39.0.0

# Check Azure CLI version
az version

3- image creating never worked and need update train-conda.yml , I changed to the following and it worked

channels:
- defaults
- conda-forge
dependencies:
- python=3.10
- pip
- pip:
- azureml-mlflow
- azure-ai-ml
- pyarrow
- scikit-learn
- pandas
- joblib
- matplotlib
- git+https://github.com/microsoft/AzureML-Observability#subdirectory=aml-obs-client
- git+https://github.com/microsoft/AzureML-Observability#subdirectory=aml-obs-collector

4- faile in training , need update train.py , here is the part that need to update to

def parse_args():
'''Parse input arguments'''

parser = argparse.ArgumentParser("train")
parser.add_argument("--train_data", type=str, help="Path to train dataset")
parser.add_argument("--model_output", type=str, help="Path of output model")

# classifier specific arguments
parser.add_argument('--regressor__n_estimators', type=int, default=500,
help='Number of trees')
parser.add_argument('--regressor__bootstrap', type=bool, default=True,
help='Method of selecting samples for training each tree')
parser.add_argument('--regressor__max_depth', type=int, default=10,
help=' Maximum number of levels in tree')
parser.add_argument('--regressor__max_features', type=str, default='sqrt',
help='Number of features to consider at every split')
parser.add_argument('--regressor__min_samples_leaf', type=int, default=4,
help='Minimum number of samples required at each leaf node')
parser.add_argument('--regressor__min_samples_split', type=int, default=5,
help='Minimum number of samples required to split a node')

args = parser.parse_args()

return args

### Steps/Code to Reproduce

hhhh

### Expected Output

nnnn

### Versions

nnn

### Which platform are you using for deploying your infrastrucutre?

Azure DevOps (ADO)

### If you mentioned Others, please mention which platformm are you using?

nn

### What are you using for deploying your infrastrucutre?

Bicep

### Are you using Azure ML CLI v2 or Azure ML Python SDK v2

Azure ML CLI v2

### Describe the example that you are trying to run?

nn