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https://dev.mysql.com/doc/heatwave/en/mys-hw-limitations-data-types.html
The following string and text data types are unsupported: BINARY VARBINARY Decimal values with a precision greater than 18 in expression operators are unsupported, with the exception of the following: Arithmetic operators, see: Section 5.3.2, ...
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-classification-generate-explanation.html
After training a classification model, you can query the default model explanation or query new model explanations. Explanations help you understand which features had the most influence on generating predictions. A positive value indicates that a ...
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-explainers.html
After the ML_TRAIN routine, use the ML_EXPLAIN routine to train model explainers for MySQL HeatWave AutoML. By default, the ML_TRAIN routine trains the Permutation Importance model explainer. A positive value indicates that a feature contributed ...
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-regression-explanations.html
After training a regression model, you can query the default model explanation or query new model explanations. Explanations help you understand which features had the most influence on generating predictions. A positive value indicates that a ...
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-unload-model.html
The ML_MODEL_UNLOAD routine unloads a model from MySQL HeatWave AutoML. Before You Begin Review the following Train a Model Load a Model Unload a Model If you are on MySQL 9.0.0 or higher, you can verify what models are currently loaded with the ...
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-using-an-anomaly-detection-model.html
To generate predictions, use the sample data from the two anomaly detection datasets: credit_card_train and training_data. Both datasets have labeled and unlabeled rows, but only the dataset for semi-supervised learning uses this for training. The ...
https://dev.mysql.com/doc/heatwave/en/mys-hwgenai-vector-store-load.html
The VECTOR_STORE_LOAD routine generates vector embedding for the specified files or folders that are stored in the bucket, and loads the embeddings into a new vector store table. This routine creates an asynchronous task which loads vector store ...
https://dev.mysql.com/doc/heatwave-aws/en/creating-iam-role-genai.html
Creating an IAM Role to Access Amazon Bedrock LLMs 21.5.4 Creating an IAM Role to Access Amazon Bedrock LLMs Use the AWS Management Console to create an IAM role for MySQL HeatWave GenAI to access Amazon Bedrock LLMs. If you want to grant access to ...
https://dev.mysql.com/doc/heatwave-aws/en/heatwave-aws-billing.html
Billing 21.3 Billing For information about managing service costs, see Billing, Cost Management, and Payments Overview. Billing for MySQL HeatWave on AWS is managed in the OCI Console. To access billing information in the Oracle Cloud ...
https://dev.mysql.com/doc/heatwave-aws/en/heatwave-aws-cloudwatch-metrics.html
CloudWatch Monitoring Metrics 17.1.1 CloudWatch Monitoring Metrics CloudWatch metrics can be used to monitor resources, diagnose issues, and troubleshoot your DB systems and their MySQL HeatWave Clusters. After enabling CloudWatch monitoring on a ...