csv_weights cannot be set

[tigerhawkvok]

Reference: 0420645671

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System Information

• Framework (e.g. TensorFlow) / Algorithm (e.g. KMeans): XGBoost
• Framework Version: 0.90
• Python Version: 3
• CPU or GPU:
• Python SDK Version: Latest
• Are you using a custom image:

Describe the problem

Can't establish an XGBoost estimator with csv_weights set to 1, as per https://docs.aws.amazon.com/sagemaker/latest/dg/xgboost.html :

To differentiate the importance of labelled data points use Instance Weight Supports

Amazon SageMaker XGBoost allows customers to differentiate the importance of labelled data points by assigning each instance a weight value. For text/libsvm input, customers can assign weight values to data instances by attaching them after the labels. For example, label:weight idx_0:val_0 idx_1:val_1.... For text/csv input, customers need to turn on the csv_weights flag in the parameters and attach weight values in the column after labels. For example: label,weight,val_0,val_1,...).

Now, the docs don't say where the XGBoost class takes the argument, so I tried the obvious locations which all failed.

Minimal repro / logs

As an estimator paramter:

As a float in the estimator fitting:

As a string in the estimator fitting:

As a fit parameter:

[ChoiByungWook]

Reference: 0420645671