Make a few descriptions more general.
@@ -130,8 +130,7 @@ Populations
+++++++++++
A population specifies which columns in a table should be modeled or ignored.
-For those that are modeled, it specifies whether they should be modeled as
-numerical or nominal.
+For those that are modeled, it specifies their statistical type.
.. index:: ``GUESS SCHEMA``
@@ -139,8 +138,8 @@ numerical or nominal.
Guess a population schema for the table *name*. A schema maps the columns in
*name* to heuristically guessed statistical types. Statistical types can be
- guessed to be NOMINAL or NUMERICAL. Columns can also be guessed to be ignored
- (IGNORE).
+ guessed to be nominal or numerical. Columns can also be guessed to be
+ ignored.
.. index:: ``CREATE POPULATION``
@@ -149,9 +148,9 @@ FOR (<column(s)>)] [MODEL <column(s)> AS <stattype>] [IGNORE <column(s)>] }``
Create a population for *name* with a schema defined by guessing the
statistical types for some or all columns (which can be referred to by \*)
- and/or explicitly modeling columns using a particular statistical type
- (NUMERICAL or NOMINAL) or ignoring them. If more than one schema definition
- is used, they should be separated by semicolons.
+ and/or explicitly modeling columns using a particular statistical type or
+ ignoring them. If more than one schema definition is used, they should be
+ separated by semicolons.
.. index:: ``DROP POPULATION``
@@ -192,13 +191,11 @@ variables in a population.
.. index:: ``CREATE METAMODEL``
``CREATE METAMODEL <metamodel> FOR <population> WITH BASELINE <baseline> (
-[OVERRIDE GENERATIVE MODEL FOR <variable> GIVEN <variable(s)> USING <model>] )``
+[OVERRIDE GENERATIVE MODEL FOR <target> GIVEN <variable(s)> USING <model>] )``
Create metamodel *metamodel* for the population *population* with the
- baseline generative model *baseline*. Possible generative models include
- crosscat, factor_analysis, random_forest (k=<num_classes>),
- ordinary_least_squares, linear_regression, multivariate_knn, and
- multivariate_kde.
+ baseline generative model *baseline*. Optionally override *baseline* with
+ *model* for a variable *target* given the inputs *variable(s)*.
.. index:: ``DROP METAMODEL``
