This function trains a machine learning model, such as random decision trees (RDT), using TFIDF features extracted from input text. TFIDF is calculated by considering the frequency of a word in a document and the inverse document frequency across a set of documents. The function outputs both the trained model and the TFIDF features, which will be used for prediction in the next stage. It supports multiple languages including English, German, Spanish, French, Russian, and Portuguese.
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drop schema DM_PAL CASCADE;
create schema DM_PAL;

set schema DM_PAL;

--drop table PAL_TFIDF_DATA_TAB;
create column table PAL_TFIDF_DATA_TAB (
    "ID" nvarchar(1000),
    "CONTENT" nvarchar(1000),
    "CATEGORY" nvarchar(1000)
);

INSERT INTO PAL_TFIDF_DATA_TAB VALUES('doc1','term1 term2 term2 term3 term3 term3','CATEGORY_1');
INSERT INTO PAL_TFIDF_DATA_TAB VALUES('doc2','term2 term3 term3 term4 term4 term4','CATEGORY_1');
INSERT INTO PAL_TFIDF_DATA_TAB VALUES('doc3','term3 term4 term4 term5 term5 term5','CATEGORY_2');
INSERT INTO PAL_TFIDF_DATA_TAB VALUES('doc5','term3 term4 term4 term5 term5 term5 term5 term5 term5','CATEGORY_2');
INSERT INTO PAL_TFIDF_DATA_TAB VALUES('doc4','term4 term6','CATEGORY_3');
INSERT INTO PAL_TFIDF_DATA_TAB VALUES('doc6','term4 term6 term6 term6','CATEGORY_3');


create column table PAL_PARAMETER_TAB (
    "PARAM_NAME" nvarchar(256),
    "INT_VALUE" integer, 
    "DOUBLE_VALUE" double, 
    "STRING_VALUE" nvarchar(1000)
);

INSERT INTO PAL_PARAMETER_TAB values('SEED', 10, null, null);


create column table PAL_TM_TERM_TAB (
    "TM_TERMS" nvarchar(1000),
    "TM_TERM_FREQUENCY" integer,
    "TM_IDF_FREQUENCY" integer,
    "TF_VALUE" double,
    "IDF_VALUE" double
);

create column table PAL_TM_DOC_TERM_FREQ_TAB (
    "ID" nvarchar(1000),
    "TM_TERMS" nvarchar(1000),
    "TM_TERM_FREQUENCY" integer
);

create column table PAL_TM_CATE_TAB (
    "ID" nvarchar(1000),
    "CATEGORY" nvarchar(1000)
);

create column table Model_TAB (
    "TreeID" int,
    "PartID" int,
    "Content" nvarchar(5000)
);

create column table Extra_TAB (
    "ID" int,
    "Content" nvarchar(1000)
);

call _SYS_AFL.PAL_TEXT_CLASSIFICATION_TRAIN(PAL_TFIDF_DATA_TAB, PAL_PARAMETER_TAB, PAL_TM_TERM_TAB, PAL_TM_DOC_TERM_FREQ_TAB, PAL_TM_CATE_TAB, Model_TAB, Extra_TAB);

