7.00.02 - Input - Aster Analytics

Teradata Aster® Analytics Foundation User GuideUpdate 2

Product
Aster Analytics
Release Number
7.00.02
Published
September 2017
Content Type
Programming Reference
User Guide
Publication ID
B700-1022-700K
Language
English (United States)
Last Update
2018-04-17

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.