From ad91f78fa37585e19e835c2ca219bedeee5b6145 Mon Sep 17 00:00:00 2001 From: Percon12 Date: Tue, 23 May 2023 15:23:20 -0300 Subject: [PATCH 1/2] Changing archive names --- .../predict_example.ipynb} | 0 .../predict_example_no_embeddings.ipynb} | 0 examples/{MEXICO_predict_sets.ipynb => Mexico/predict_sets.ipynb} | 0 .../retrain_predict_example.ipynb} | 0 .../retrain_predict_example_no_embedding.ipynb} | 0 .../retrain_sets copy.ipynb} | 0 examples/{MEXICO_retrain_sets.ipynb => Mexico/retrain_sets.ipynb} | 0 7 files changed, 0 insertions(+), 0 deletions(-) rename examples/{MEXICO_predict_example.ipynb => Mexico/predict_example.ipynb} (100%) rename examples/{MEXICO_predict_example_no_embeddings.ipynb => Mexico/predict_example_no_embeddings.ipynb} (100%) rename examples/{MEXICO_predict_sets.ipynb => Mexico/predict_sets.ipynb} (100%) rename examples/{MEXICO_retrain_predict_example.ipynb => Mexico/retrain_predict_example.ipynb} (100%) rename examples/{MEXICO_retrain_predict_example_no_embedding.ipynb => Mexico/retrain_predict_example_no_embedding.ipynb} (100%) rename examples/{MEXICO_retrain_sets copy.ipynb => Mexico/retrain_sets copy.ipynb} (100%) rename examples/{MEXICO_retrain_sets.ipynb => Mexico/retrain_sets.ipynb} (100%) diff --git a/examples/MEXICO_predict_example.ipynb b/examples/Mexico/predict_example.ipynb similarity index 100% rename from examples/MEXICO_predict_example.ipynb rename to examples/Mexico/predict_example.ipynb diff --git a/examples/MEXICO_predict_example_no_embeddings.ipynb b/examples/Mexico/predict_example_no_embeddings.ipynb similarity index 100% rename from examples/MEXICO_predict_example_no_embeddings.ipynb rename to examples/Mexico/predict_example_no_embeddings.ipynb diff --git a/examples/MEXICO_predict_sets.ipynb b/examples/Mexico/predict_sets.ipynb similarity index 100% rename from examples/MEXICO_predict_sets.ipynb rename to examples/Mexico/predict_sets.ipynb diff --git a/examples/MEXICO_retrain_predict_example.ipynb b/examples/Mexico/retrain_predict_example.ipynb similarity index 100% rename from examples/MEXICO_retrain_predict_example.ipynb rename to examples/Mexico/retrain_predict_example.ipynb diff --git a/examples/MEXICO_retrain_predict_example_no_embedding.ipynb b/examples/Mexico/retrain_predict_example_no_embedding.ipynb similarity index 100% rename from examples/MEXICO_retrain_predict_example_no_embedding.ipynb rename to examples/Mexico/retrain_predict_example_no_embedding.ipynb diff --git a/examples/MEXICO_retrain_sets copy.ipynb b/examples/Mexico/retrain_sets copy.ipynb similarity index 100% rename from examples/MEXICO_retrain_sets copy.ipynb rename to examples/Mexico/retrain_sets copy.ipynb diff --git a/examples/MEXICO_retrain_sets.ipynb b/examples/Mexico/retrain_sets.ipynb similarity index 100% rename from examples/MEXICO_retrain_sets.ipynb rename to examples/Mexico/retrain_sets.ipynb From 33efecee0ff1ceec7b7a6d23997640b00e0ab162 Mon Sep 17 00:00:00 2001 From: Percon12 Date: Sun, 4 Jun 2023 22:21:50 -0300 Subject: [PATCH 2/2] some modifications in name of the archives, correcting some language errors --- examples/{Mexico => }/predict_example.ipynb | 0 .../{Mexico => }/predict_example_no_embeddings.ipynb | 0 examples/{Mexico => }/predict_sets.ipynb | 0 examples/{Mexico => }/retrain_predict_example.ipynb | 12 +++++++++++- .../retrain_predict_example_no_embedding.ipynb | 0 examples/{Mexico => }/retrain_sets copy.ipynb | 12 +++++++++++- examples/{Mexico => }/retrain_sets.ipynb | 12 +++++++++++- examples/yaml_example.ipynb | 3 ++- 8 files changed, 35 insertions(+), 4 deletions(-) rename examples/{Mexico => }/predict_example.ipynb (100%) rename examples/{Mexico => }/predict_example_no_embeddings.ipynb (100%) rename examples/{Mexico => }/predict_sets.ipynb (100%) rename examples/{Mexico => }/retrain_predict_example.ipynb (98%) rename examples/{Mexico => }/retrain_predict_example_no_embedding.ipynb (100%) rename examples/{Mexico => }/retrain_sets copy.ipynb (98%) rename examples/{Mexico => }/retrain_sets.ipynb (98%) diff --git a/examples/Mexico/predict_example.ipynb b/examples/predict_example.ipynb similarity index 100% rename from examples/Mexico/predict_example.ipynb rename to examples/predict_example.ipynb diff --git a/examples/Mexico/predict_example_no_embeddings.ipynb b/examples/predict_example_no_embeddings.ipynb similarity index 100% rename from examples/Mexico/predict_example_no_embeddings.ipynb rename to examples/predict_example_no_embeddings.ipynb diff --git a/examples/Mexico/predict_sets.ipynb b/examples/predict_sets.ipynb similarity index 100% rename from examples/Mexico/predict_sets.ipynb rename to examples/predict_sets.ipynb diff --git a/examples/Mexico/retrain_predict_example.ipynb b/examples/retrain_predict_example.ipynb similarity index 98% rename from examples/Mexico/retrain_predict_example.ipynb rename to examples/retrain_predict_example.ipynb index 6ef08e15..a109432f 100644 --- a/examples/Mexico/retrain_predict_example.ipynb +++ b/examples/retrain_predict_example.ipynb @@ -1,10 +1,11 @@ { "cells": [ { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ - "# Exemplo de uso para treinar o modelo\n", + "# Usage example to train the model\n", "\n", "Welcome to the Hygia Boilerplate! This resource is designed to help data scientists understand and utilize the full capabilities of the Hygia library. The Hygia library provides a comprehensive suite of tools for pre-processing, feature engineering, model training, and prediction. By using this boilerplate, you will gain a deeper understanding of how to effectively use the library to perform various tasks in the data science pipeline.\n", "\n", @@ -24,6 +25,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -56,6 +58,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -79,6 +82,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -117,6 +121,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -259,6 +264,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -354,6 +360,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -386,6 +393,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -425,6 +433,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -461,6 +470,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ diff --git a/examples/Mexico/retrain_predict_example_no_embedding.ipynb b/examples/retrain_predict_example_no_embedding.ipynb similarity index 100% rename from examples/Mexico/retrain_predict_example_no_embedding.ipynb rename to examples/retrain_predict_example_no_embedding.ipynb diff --git a/examples/Mexico/retrain_sets copy.ipynb b/examples/retrain_sets copy.ipynb similarity index 98% rename from examples/Mexico/retrain_sets copy.ipynb rename to examples/retrain_sets copy.ipynb index 26286304..84bc4862 100644 --- a/examples/Mexico/retrain_sets copy.ipynb +++ b/examples/retrain_sets copy.ipynb @@ -1,10 +1,11 @@ { "cells": [ { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ - "# Exemplo de uso para treinar o modelo\n", + "# Usage example to train the model\n", "\n", "Welcome to the Hygia Boilerplate! This resource is designed to help data scientists understand and utilize the full capabilities of the Hygia library. The Hygia library provides a comprehensive suite of tools for pre-processing, feature engineering, model training, and prediction. By using this boilerplate, you will gain a deeper understanding of how to effectively use the library to perform various tasks in the data science pipeline.\n", "\n", @@ -77,6 +78,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -115,6 +117,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -138,6 +141,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -176,6 +180,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -266,6 +271,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -363,6 +369,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -395,6 +402,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -434,6 +442,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -470,6 +479,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ diff --git a/examples/Mexico/retrain_sets.ipynb b/examples/retrain_sets.ipynb similarity index 98% rename from examples/Mexico/retrain_sets.ipynb rename to examples/retrain_sets.ipynb index 98f39cfb..4a586f5d 100644 --- a/examples/Mexico/retrain_sets.ipynb +++ b/examples/retrain_sets.ipynb @@ -1,10 +1,11 @@ { "cells": [ { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ - "# Exemplo de uso para treinar o modelo\n", + "# Usage example to train the model\n", "\n", "Welcome to the Hygia Boilerplate! This resource is designed to help data scientists understand and utilize the full capabilities of the Hygia library. The Hygia library provides a comprehensive suite of tools for pre-processing, feature engineering, model training, and prediction. By using this boilerplate, you will gain a deeper understanding of how to effectively use the library to perform various tasks in the data science pipeline.\n", "\n", @@ -84,6 +85,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -122,6 +124,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -145,6 +148,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -183,6 +187,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -249,6 +254,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -346,6 +352,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -378,6 +385,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -417,6 +425,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -453,6 +462,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ diff --git a/examples/yaml_example.ipynb b/examples/yaml_example.ipynb index 20ebdb61..be15e7a1 100644 --- a/examples/yaml_example.ipynb +++ b/examples/yaml_example.ipynb @@ -1,6 +1,7 @@ { "cells": [ { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -39,7 +40,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.16" + "version": "3.10.11" }, "vscode": { "interpreter": {