7.00.02 - Input - Aster Analytics

Teradata Aster® Analytics Foundation User GuideUpdate 2

Product
Aster Analytics
Release Number
7.00.02
Release Date
September 2017
Content Type
Programming Reference
User Guide
Publication ID
B700-1022-700K
Language
English (United States)

HMMEvaluator accepts four input tables. Three tables contain the HMM parameter tables and output from HMMUnsupervisedLearner or HMMSupervisedLearner function. The fourth table contains the newly observed sequences, and has a schema similar to the input table or views for HMMUnsupervisedLearner.

HMMEvaluator Initial-State Probability Table Schema
Column Data Type Description
model_attribute ANY The name of the column that contains the model attribute, specified by the InitStateModelColumn attribute.
state_key_attribute ANY A symbol defining a hidden state.
probability DOUBLE PRECISION The initial probability of the hidden state.
HMMEvaluator State-Transition Probability Table Schema
Column Data Type Description
model_attribute ANY The name of the column that contains the model attribute, specified by the TransAttributeColumn attribute.
from_state_key_attribute ANY A symbol defining a hidden state from which a transition emanates.
to_state_key_attribute ANY A symbol defining a hidden state to which a transition is made.
probability DOUBLE PRECISION The probability of a transition from the from_state to the to_state.
HMMEvaluator Emission Probability Table Schema
Column Data Type Description
model_attribute ANY The name of the column that contains the model attribute, specified by the EmitModelColumn attribute.
state_key_attribute ANY A symbol defining a hidden state.
observed_key_attribute ANY A symbol defining an observation value.
probability DOUBLE PRECISION The probability of emitting an observed symbol given that the HMM is in a hidden state.