{"blocks": [{"key": "720d2533", "text": "Scenario", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "73c38595", "text": "Tech round code-review: three imputation classes implementing mean, median, and mode substitution for missing values", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "0a8ecbb8", "text": "Question", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "261d013c", "text": "Identify any problems or risks you notice in these imputation class implementations.", "type": "unordered-list-item", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "d904d81c", "text": "Suggest concrete improvements or refactors to make them more robust and reusable.", "type": "unordered-list-item", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "cb2aec0e", "text": "Hints", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "dde5cf01", "text": "Consider inheritance, dtype handling, sparse data, incremental fit, edge cases, and compliance with sklearn interface.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}], "entityMap": {}}