job_config.ini

[DATASOURCE]
Type=BIGQUERY
Location=bigquery-public-data.ml_datasets.census_adult_income

[SCHEMA]
# If a column is integer type but categorical in nature, it should be assigned to categorical feature.
# The ml problem type will be determined by whether `Target` is in `NumericalFeatures` or `CategoricalFeatures`.

# Put `Null` if no target is required
Target=age
NumericalFeatures=age,hours_per_week,functional_weight,education_num
CategoricalFeatures=marital_status,race,education,native_country

[ANALYSIS.RUN]
# Control what analysis to run.
# By default, descriptive, histogram, value_counts, pearson_correlation will run.
# Others will be triggered by configuration.

# Qualitative Analysis
CONTINGENCY_TABLE.Run=True
TABLE_DESCRIPTIVE.Run=False

# Quantitative Analysis
PEARSON_CORRELATION.Run=True
INFORMATION_GAIN.Run=False
CHI_SQUARE.Run=False
ANOVA.Run=False

[ANALYSIS.CONFIG]
General.CardinalityLimit=20
HISTOGRAM.Bin=15
VALUE_COUNTS.Limit=15