egutierrez e1e9bb7499 feat(shell): auto-commit con 31 cambios ...

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

2026-06-14 23:55:16 +02:00

..

tests

chore: auto-commit (95 archivos)

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__init__.py

feat(shell): auto-commit con 31 cambios

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aggregate_by_group_test.py

feat: funciones Python datascience, finance, cybersecurity y pipelines

2026-04-05 17:11:32 +02:00

aggregate_by_group.md

chore: auto-commit (286 archivos)

2026-05-16 16:33:22 +02:00

aggregate_by_group.py

feat: funciones Python datascience, finance, cybersecurity y pipelines

2026-04-05 17:11:32 +02:00

align_relations_to_entities.md

chore: auto-commit (286 archivos)

2026-05-16 16:33:22 +02:00

align_relations_to_entities.py

feat: extraccion masiva footprint_aurgi (41 funcs + 4 types + stack Docker geo)

2026-05-04 23:35:22 +02:00

alpha_shape_concave_hull.md

chore: auto-commit (799 archivos)

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alpha_shape_concave_hull.py

feat: extraccion masiva footprint_aurgi (41 funcs + 4 types + stack Docker geo)

2026-05-04 23:35:22 +02:00

autocorrelation.md

chore: auto-commit (799 archivos)

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best_central_tendency.md

chore: auto-commit (799 archivos)

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best_central_tendency.py

feat: extraccion masiva footprint_aurgi (41 funcs + 4 types + stack Docker geo)

2026-05-04 23:35:22 +02:00

build_entity_schema_prompt_test.py

feat: funciones Python datascience, finance, cybersecurity y pipelines

2026-04-05 17:11:32 +02:00

build_entity_schema_prompt.md

docs: params/output semántico en 506 funciones para composabilidad

2026-04-05 18:45:16 +02:00

build_entity_schema_prompt.py

feat: funciones Python datascience, finance, cybersecurity y pipelines

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build_relation_schema_prompt_test.py

feat: funciones Python datascience, finance, cybersecurity y pipelines

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build_relation_schema_prompt.md

docs: params/output semántico en 506 funciones para composabilidad

2026-04-05 18:45:16 +02:00

build_relation_schema_prompt.py

feat: funciones Python datascience, finance, cybersecurity y pipelines

2026-04-05 17:11:32 +02:00

cdp_scrape_aliexpress_trending.py

feat(shell): auto-commit con 31 cambios

2026-06-14 23:55:16 +02:00

clip.md

chore: auto-commit (286 archivos)

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datascience.py

feat: funciones Python datascience, finance, cybersecurity y pipelines

2026-04-05 17:11:32 +02:00

deduplicate_entities_test.py

feat: funciones Python datascience, finance, cybersecurity y pipelines

2026-04-05 17:11:32 +02:00

deduplicate_entities.md

chore: auto-commit (286 archivos)

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deduplicate_entities.py

feat: funciones Python datascience, finance, cybersecurity y pipelines

2026-04-05 17:11:32 +02:00

deduplicate_relations_test.py

feat: funciones Python datascience, finance, cybersecurity y pipelines

2026-04-05 17:11:32 +02:00

deduplicate_relations.md

chore: auto-commit (286 archivos)

2026-05-16 16:33:22 +02:00

deduplicate_relations.py

feat: funciones Python datascience, finance, cybersecurity y pipelines

2026-04-05 17:11:32 +02:00

detect_distribution_type.md

chore: auto-commit (799 archivos)

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detect_distribution_type.py

feat: extraccion masiva footprint_aurgi (41 funcs + 4 types + stack Docker geo)

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detect_drift_test.py

feat: funciones Python datascience, finance, cybersecurity y pipelines

2026-04-05 17:11:32 +02:00

detect_drift.md

chore: auto-commit (286 archivos)

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detect_drift.py

feat: funciones Python datascience, finance, cybersecurity y pipelines

2026-04-05 17:11:32 +02:00

detect_outliers.md

chore: auto-commit (286 archivos)

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diff_entities_test.py

feat: funciones Python datascience, finance, cybersecurity y pipelines

2026-04-05 17:11:32 +02:00

diff_entities.md

chore: auto-commit (286 archivos)

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diff_entities.py

feat: funciones Python datascience, finance, cybersecurity y pipelines

2026-04-05 17:11:32 +02:00

diff_relations_test.py

feat: funciones Python datascience, finance, cybersecurity y pipelines

2026-04-05 17:11:32 +02:00

diff_relations.md

chore: auto-commit (286 archivos)

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diff_relations.py

feat: funciones Python datascience, finance, cybersecurity y pipelines

2026-04-05 17:11:32 +02:00

estimate_hawkes.md

chore: auto-commit (799 archivos)

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estimate_pareto_alpha.md

chore: auto-commit (799 archivos)

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extract_entities_gliner.md

feat(datascience): GLiNER entity extractor (zero-shot NER) drop-in con LLM

2026-04-30 16:33:38 +02:00

extract_entities_gliner.py

feat(datascience): GLiNER entity extractor (zero-shot NER) drop-in con LLM

2026-04-30 16:33:38 +02:00

extract_entities_llm_test.py

feat: funciones Python datascience, finance, cybersecurity y pipelines

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extract_entities_llm.md

docs: params/output semántico en 506 funciones para composabilidad

2026-04-05 18:45:16 +02:00

extract_entities_llm.py

feat: funciones Python datascience, finance, cybersecurity y pipelines

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extract_graph_gliner2.md

feat: extraccion masiva footprint_aurgi (41 funcs + 4 types + stack Docker geo)

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extract_graph_gliner2.py

feat: extraccion masiva footprint_aurgi (41 funcs + 4 types + stack Docker geo)

2026-05-04 23:35:22 +02:00

extract_relations_glirel.md

feat(datascience): GLiREL relation extractor (zero-shot triplets) drop-in con LLM

2026-04-30 16:41:09 +02:00

extract_relations_glirel.py

feat(datascience): GLiREL relation extractor (zero-shot triplets) drop-in con LLM

2026-04-30 16:41:09 +02:00

extract_relations_llm_test.py

feat: funciones Python datascience, finance, cybersecurity y pipelines

2026-04-05 17:11:32 +02:00

extract_relations_llm.md

docs: params/output semántico en 506 funciones para composabilidad

2026-04-05 18:45:16 +02:00

extract_relations_llm.py

feat: funciones Python datascience, finance, cybersecurity y pipelines

2026-04-05 17:11:32 +02:00

extract_relations_mrebel.md

chore: auto-commit (799 archivos)

2026-05-14 00:28:20 +02:00

extract_relations_mrebel.py

feat: extraccion masiva footprint_aurgi (41 funcs + 4 types + stack Docker geo)

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extract_triples_spacy_es.md

chore: auto-commit (799 archivos)

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extract_triples_spacy_es.py

feat: extraccion masiva footprint_aurgi (41 funcs + 4 types + stack Docker geo)

2026-05-04 23:35:22 +02:00

fuzzy_merge_adaptive.md

chore: auto-commit (799 archivos)

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fuzzy_merge_adaptive.py

feat: extraccion masiva footprint_aurgi (41 funcs + 4 types + stack Docker geo)

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geometric_mean.md

feat: extraccion masiva footprint_aurgi (41 funcs + 4 types + stack Docker geo)

2026-05-04 23:35:22 +02:00

geometric_mean.py

feat: extraccion masiva footprint_aurgi (41 funcs + 4 types + stack Docker geo)

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gliner2_load_model.md

feat: extraccion masiva footprint_aurgi (41 funcs + 4 types + stack Docker geo)

2026-05-04 23:35:22 +02:00

gliner2_load_model.py

feat: extraccion masiva footprint_aurgi (41 funcs + 4 types + stack Docker geo)

2026-05-04 23:35:22 +02:00

gliner_load_model.md

feat(datascience): GLiNER entity extractor (zero-shot NER) drop-in con LLM

2026-04-30 16:33:38 +02:00

gliner_load_model.py

feat(datascience): GLiNER entity extractor (zero-shot NER) drop-in con LLM

2026-04-30 16:33:38 +02:00

glirel_load_model.md

feat(datascience): GLiREL relation extractor (zero-shot triplets) drop-in con LLM

2026-04-30 16:41:09 +02:00

glirel_load_model.py

fix(datascience): glirel_load_model compatible con huggingface_hub 1.x

2026-05-04 14:43:35 +02:00

histogram.md

chore: auto-commit (286 archivos)

2026-05-16 16:33:22 +02:00

hotness_score_test.py

feat: funciones Python datascience, finance, cybersecurity y pipelines

2026-04-05 17:11:32 +02:00

hotness_score.md

chore: auto-commit (799 archivos)

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hotness_score.py

feat: funciones Python datascience, finance, cybersecurity y pipelines

2026-04-05 17:11:32 +02:00

impute.md

chore: auto-commit (286 archivos)

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kde_density_levels.md

chore: auto-commit (799 archivos)

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kde_density_levels.py

feat: extraccion masiva footprint_aurgi (41 funcs + 4 types + stack Docker geo)

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linspace.md

chore: auto-commit (799 archivos)

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marianmt_es_en_load_model.md

feat: extraccion masiva footprint_aurgi (41 funcs + 4 types + stack Docker geo)

2026-05-04 23:35:22 +02:00

marianmt_es_en_load_model.py

feat: extraccion masiva footprint_aurgi (41 funcs + 4 types + stack Docker geo)

2026-05-04 23:35:22 +02:00

melt_test.py

feat: funciones Python datascience, finance, cybersecurity y pipelines

2026-04-05 17:11:32 +02:00

melt.md

chore: auto-commit (799 archivos)

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melt.py

feat: funciones Python datascience, finance, cybersecurity y pipelines

2026-04-05 17:11:32 +02:00

merge_graphs_test.py

feat: funciones Python datascience, finance, cybersecurity y pipelines

2026-04-05 17:11:32 +02:00

merge_graphs.md

chore: auto-commit (799 archivos)

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merge_graphs.py

feat: funciones Python datascience, finance, cybersecurity y pipelines

2026-04-05 17:11:32 +02:00

min_max_scale.md

chore: auto-commit (799 archivos)

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mrebel_base_load_model.md

chore: auto-commit (799 archivos)

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mrebel_base_load_model.py

feat: extraccion masiva footprint_aurgi (41 funcs + 4 types + stack Docker geo)

2026-05-04 23:35:22 +02:00

mrebel_load_model.md

feat: extraccion masiva footprint_aurgi (41 funcs + 4 types + stack Docker geo)

2026-05-04 23:35:22 +02:00

mrebel_load_model.py

feat: extraccion masiva footprint_aurgi (41 funcs + 4 types + stack Docker geo)

2026-05-04 23:35:22 +02:00

ops_to_rdf_triples.md

chore: auto-commit (799 archivos)

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ops_to_rdf_triples.py

feat: funciones datascience — ops_to_rdf_triples, ops_to_sigma_json, render_sigma_html

2026-04-02 22:03:51 +02:00

ops_to_sigma_json.md

docs: params/output semántico en 506 funciones para composabilidad

2026-04-05 18:45:16 +02:00

ops_to_sigma_json.py

feat: funciones datascience — ops_to_rdf_triples, ops_to_sigma_json, render_sigma_html

2026-04-02 22:03:51 +02:00

parse_rebel_output.md

feat: extraccion masiva footprint_aurgi (41 funcs + 4 types + stack Docker geo)

2026-05-04 23:35:22 +02:00

parse_rebel_output.py

feat: extraccion masiva footprint_aurgi (41 funcs + 4 types + stack Docker geo)

2026-05-04 23:35:22 +02:00

pearson.md

chore: auto-commit (799 archivos)

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pivot_test.py

feat: funciones Python datascience, finance, cybersecurity y pipelines

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pivot.md

chore: auto-commit (799 archivos)

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pivot.py

feat: funciones Python datascience, finance, cybersecurity y pipelines

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plot_heatmap_log.md

chore: auto-commit (799 archivos)

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plot_heatmap_log.py

feat: extraccion masiva footprint_aurgi (41 funcs + 4 types + stack Docker geo)

2026-05-04 23:35:22 +02:00

plot_kde_2d.md

chore: auto-commit (799 archivos)

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plot_kde_2d.py

feat: extraccion masiva footprint_aurgi (41 funcs + 4 types + stack Docker geo)

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rebel_load_model.md

chore: auto-commit (799 archivos)

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rebel_load_model.py

feat: extraccion masiva footprint_aurgi (41 funcs + 4 types + stack Docker geo)

2026-05-04 23:35:22 +02:00

remove_words_from_column.md

chore: auto-commit (799 archivos)

2026-05-14 00:28:20 +02:00

remove_words_from_column.py

feat: extraccion masiva footprint_aurgi (41 funcs + 4 types + stack Docker geo)

2026-05-04 23:35:22 +02:00

render_sigma_html.md

chore: auto-commit (799 archivos)

2026-05-14 00:28:20 +02:00

render_sigma_html.py

feat: funciones datascience — ops_to_rdf_triples, ops_to_sigma_json, render_sigma_html

2026-04-02 22:03:51 +02:00

rolling_window.md

chore: auto-commit (799 archivos)

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scrape_aliexpress_trending.md

feat(shell): auto-commit con 31 cambios

2026-06-14 23:55:16 +02:00

scrape_aliexpress_trending.py

feat(shell): auto-commit con 31 cambios

2026-06-14 23:55:16 +02:00

scrape_amazon_bestsellers.md

feat(shell): auto-commit con 31 cambios

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scrape_amazon_bestsellers.py

feat(shell): auto-commit con 31 cambios

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scrape_competitor_prices.md

feat(shell): auto-commit con 31 cambios

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scrape_competitor_prices.py

feat(shell): auto-commit con 31 cambios

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scrape_google_trends.md

feat(shell): auto-commit con 31 cambios

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scrape_google_trends.py

feat(shell): auto-commit con 31 cambios

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scrape_tiktok_creative.md

feat(shell): auto-commit con 31 cambios

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scrape_tiktok_creative.py

feat(shell): auto-commit con 31 cambios

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spacy_es_load_model.md

feat: extraccion masiva footprint_aurgi (41 funcs + 4 types + stack Docker geo)

2026-05-04 23:35:22 +02:00

spacy_es_load_model.py

feat: extraccion masiva footprint_aurgi (41 funcs + 4 types + stack Docker geo)

2026-05-04 23:35:22 +02:00

standardize.md

chore: auto-commit (799 archivos)

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summary_stats.md

feat: extraccion masiva footprint_aurgi (41 funcs + 4 types + stack Docker geo)

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summary_stats.py

feat: extraccion masiva footprint_aurgi (41 funcs + 4 types + stack Docker geo)

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translate_es_to_en.md

chore: auto-commit (799 archivos)

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translate_es_to_en.py

feat: extraccion masiva footprint_aurgi (41 funcs + 4 types + stack Docker geo)

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trimmed_mean.md

feat: extraccion masiva footprint_aurgi (41 funcs + 4 types + stack Docker geo)

2026-05-04 23:35:22 +02:00

trimmed_mean.py

feat: extraccion masiva footprint_aurgi (41 funcs + 4 types + stack Docker geo)

2026-05-04 23:35:22 +02:00

vault_csv_profile.md

chore: auto-commit (95 archivos)

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vault_csv_profile.py

chore: auto-commit (95 archivos)

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vault_pdf_extract.md

chore: auto-commit (95 archivos)

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vault_pdf_extract.py

chore: auto-commit (95 archivos)

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words_to_dataset.md

chore: auto-commit (799 archivos)

2026-05-14 00:28:20 +02:00

words_to_dataset.py

feat: extraccion masiva footprint_aurgi (41 funcs + 4 types + stack Docker geo)

2026-05-04 23:35:22 +02:00