Man pages for malsch/occupationCoding
Supervised Learning for Occupation Coding
| accuracy | Accuracy |
| asDocumentTermMatrix | Document-Term Matrix |
| calcAccurateAmongTopK | Calculate aggregate properties for top k predicted categories |
| coding_index_excerpt | An excerpt from the Gesamtberufsliste der BA |
| cosineSimilarity | Cosine Similarity |
| createDescriptives | Describe occupational data |
| createSimilarityTableStringdist | Similarity Table with Coding index |
| createSimilarityTableSubstring | Similarity Table with Coding index |
| createSimilarityTableWordwiseStringdist | Wordwise Similarity Table with Coding index |
| expandPredictionResults | Expands predicted datasets to contain all allowed codes |
| frequent_phrases | Some job titles and job descriptions |
| kldb2010PlusFive | 2010 German Classification of Occupations (KldB 2010) |
| logLoss | Log loss |
| occupations | A selection of 250 coded occupational answers |
| plotAgreementRateVsProductionRate | Plot agreement rate vs. production rate |
| plotReliabilityDiagram | Reliability Diagram |
| plotTruePredictionsVsFalsePredictions | Plot true predictions versus false predictions |
| predictCreecysMemoryBasedReasoning | Predict codes with Creecys Memory-based reaoning model |
| predictGweonsNearestNeighbor | Predict codes with Gweons Nearest Neighbor Method |
| predictLogisticRegressionWithPenalization | Predict codes using a logistic regression model |
| predictSimilarityBasedReasoning | Predict codes using a Similarity Based Probability Model |
| predictWithCodingIndex | Code answers with a coding index |
| predictXgboost | Predict codes using an extreme gradient boosted tree model |
| prepare_German_coding_index_Gesamtberufsliste_der_BA | Prepares the Gesamtberufsliste der BA to be used with this... |
| produceResults | Produces summaries of predictive performance |
| removeFaultyAndUncodableAnswers_And_PrepareForAnalysis | Data Preparation |
| selectMaxProbMethod | From multiple prediction methods, select the prediction... |
| sharpness | Sharpness |
| stringPreprocessing | Preprocess German occupational text |
| surveyCountsSubstringSimilarity | Anonymized training data (substring similarity) to be used... |
| surveyCountsWordwiseSimilarity | Anonymized training data (wordwise similarity) to be used... |
| trainCreecysMemoryBasedReasoning | Train Creecys Memory-based reaoning model |
| trainGweonsNearestNeighbor | Trains Gweons Nearest Neighbor model |
| trainLogisticRegressionWithPenalization | Train a logistic regression model with penalization |
| trainSimilarityBasedReasoning | Train Similarity Based Probability Model |
| trainSimilarityBasedReasoning2 | Train Similarity Based Probability Model with anonymized... |
| trainXgboost | Train an extreme gradient boosted tree model |
