7.00.02 - Output - 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)

The HMMUnsupervisedLearner function outputs console messages and generates the following three tables through JDBC:

  • Initial-state probability table
  • State-transition probability table
  • Emission probability table
HMMUnsupervisedLearner Console Message Table Schema
Column Data Type Description
message VARCHAR Console message that describes the output.
HMMUnsupervisedLearner Initial-State Probability Table
Column Data Type Description
model_attribute BIGINT, INTEGER, or VARCHAR The name of the column that contains the model attribute, specified by the ModelColumn attribute.
state VARCHAR The hidden state of the learned HMM.
probability DOUBLE PRECISION The initial state probability determined by the function.
HMMUnsupervisedLearner State-Transition Probability Table
Column Data Type Description
model_attribute BIGINT, INTEGER, or VARCHAR The name of the column that contains the model attribute, specified by the ModelColumn attribute.
from_state VARCHAR The hidden state of the learned HMM, from which a transition emanates.
to_state VARCHAR The hidden state of the learned HMM, to which a transition is made.
probability DOUBLE PRECISION The probability of a transition from the from_state to the to_state.
HMMUnsupervisedLearner Observation Probability Table
Column Data Type Description
model_attribute BIGINT, INTEGER, or VARCHAR The name of the column that contains the model attribute, specified by the ModelColumn attribute.
state VARCHAR The hidden state of the learned HMM.
observed_key_attribute VARCHAR An observed symbol found in the observed_id column of the input table.
probability DOUBLE PRECISION The probability of emitting an observed symbol given that the HMM is in a hidden state.