Regression

Regression Model Overview

Regression models have a continuous, numeric output. (Examples: click-through rates, sales forecasting, customer lifetime value, ETA models, etc.)

Performance Metrics

MAPE, MAE, RMSE, MSE, R-Squared, Mean Error Allowed Metric Families: Regression Click here for all valid model types and metric combinations.

Regression Code Example

Python Pandas
Python Single Record
Data Connector

Google Colab

Example Row

price (float)	pos_approved (bool)	zip_code	age	prediction_score	actual_score	prediction_ts
`88.5`	`False`	12345	25	`100`	`90`	`1671572541`

# feature & tag columns can be optionally defined with typing:
tag_columns = TypedColumns(
    inferred=["name"],
    to_int=["zip_code", "age"]
)

# Declare the schema of the dataframe you're sending (feature columns, predictions, timestamp, actuals) 
schema = Schema(
    prediction_id_column_name="prediction_id",
    timestamp_column_name="prediction_ts",
    prediction_score_column_name="prediction_score",
    actual_score_column_name="actual_score",
    feature_column_names=["price", "pos_approved"],
    tag_column_names=tag_columns,
)
# Log the dataframe with the schema mapping
response = client.log(
    model_id='sample-model-1', 
    model_version='v1', 
    model_type=ModelTypes.REGRESSION,
    metrics_validation=[Metrics.REGRESSION],
    environment=Environments.PRODUCTION,
    dataframe=test_dataframe,
    schema=schema
)

Google Colab

# features & tags can be optionally defined with typing
features = {
    'score': '88.5',
    'pos_approved': TypedValue(value=False, type=ArizeTypes.INT)
}  
    
tags = {
    'zip_code': '12345'
    'age': '25'
}

response = client.log(
    model_id='sample-model-1', 
    model_version='v1', 
    model_type=ModelTypes.REGRESSION,
    environment=Environments.PRODUCTION,
    features = features, 
    tags=tags
    prediction_label=100,
    actual_label=90
)

Quick Definitions

Prediction Label: The numeric value of the prediction (float | int) Actual Label: The numeric value of the actual (float | int)

Multi Class Classification Lending

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Quickstart

Instrument

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Agents

Machine Learning

Settings

Security

Regression Model Overview

Performance Metrics

Regression Code Example

Example Row

Google Cloud Storage (GCS)

AWS S3

Azure Blob Storage

Google BigQuery

Quick Definitions

​Regression Model Overview

​Performance Metrics

​Regression Code Example

​Example Row

Google Cloud Storage (GCS)

AWS S3

Azure Blob Storage

Google BigQuery

​Quick Definitions

Regression Model Overview

Performance Metrics

Regression Code Example

Example Row

Quick Definitions