lgmoneda

import numpy as np
import random
import pandas as pd
import keras
from keras.models import Sequential
from keras.layers import Dense
from sklearn.cross_validation import train_test_split

def gen_variance_dataset(n_elements, n_features):
    n_rows = int(n_elements / n_features)

lgmoneda

def build_submission(preds, 
                     score, 
                     score_name="auc", 
                     file_title="sub", 
                     sample_sub_file="../data/sample_submission.csv", 
                     submissions_path="../submissions/"):
  
    timestamp = int(time()) 
    submission = pd.read_csv(sample_sub_file)
    submission[TARGET] = preds

lgmoneda

One of the things I like the most about my Firefox config is this tricky to hide bars and maximize content. Putting together the sources [1] [2] [3]:

• Go to ~/.mozilla/firefox/<profile> on Linux, ~/Library/Application Support/Firefox/Profiles/<profile folder> or ~/Library/Mozilla/Firefox/Profiles/<profile folder> on OSX, %appdata%\Mozilla\Firefox\Profiles\<profile folder> on Windows
• Create directory chrome if it doesn't exist
• Create file userChrome.css inside if it doesn't exist.
• Add this text to the file:

@namespace url("http://www.mozilla.org/keymaster/gatekeeper/there.is.only.xul");

lgmoneda

import pandas as pd
import numpy as np

data = [[1, 5, 2], [2, 3, 1], [3, 1, 1], [1, 3, 2]]
df = pd.DataFrame(data, columns=["values_1", "values_2", "age"])

agg_columns = ["values_1", "values_2"]
agg_functions = [np.mean, np.std]
agg_dict = {col + "_" + f.__name__: (col, f) for col in agg_columns for f in agg_functions}
agg = df.groupby("age").agg(**agg_dict)

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#TabsToolbar > * {
	visibility: collapse;
}

#titlebar{ margin-bottom: -22px}

/* hide navigation bar when it is not focused; use Ctrl+L to get focus */
#main-window:not([customizing]) #navigator-toolbox:not(:focus-within):not(:hover) {
	margin-top: -105px;			/**/
}

lgmoneda

Adding Processing "color"

Add the rainbow-mode package to your init.el and the proper config to add it to the processing mode and recognize the color:

(use-package rainbow-mode
  :ensure t
  :config
  (add-to-list 'rainbow-html-colors-major-mode-list 'processing-mode)
 (add-to-list 'rainbow-html-rgb-colors-font-lock-keywords

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(defun my-org-make-link ()
  "Turn selected text into an Org mode link by replacing the selected
text with a link that uses the selected text as the link description
and the clipboard contents as the link URL."
  (interactive)
  (let ((link-description (if (use-region-p)
                              (buffer-substring-no-properties (region-beginning) (region-end))
                            (read-string "Link description: ")))
        (clipboard-contents (current-kill 0)))
    (delete-region (region-beginning) (region-end))

lgmoneda

import os
import re

import numpy as np
import pandas as pd
import torch
import warnings
from adjustText import adjust_text
from sentence_transformers import SentenceTransformer
from sklearn.manifold import TSNE

lgmoneda

from datetime import date

today = date.today()

# Minor modification from langchain library example
PROMPT_PRE = """
My name is Luis Moneda. You are my personal assistant. Given the following extracted parts of long documents from my personal notes and a question, create a final answer with references ("SOURCES"). 
The content of the document will be preceeded by the title hierarchy it was taken from inside brackets, which you should use to get context about it.
If you don't know the answer, just say that you don't know. Don't try to make up an answer.
ALWAYS return a "SOURCES" part in your answer that only contains numbers. Today is {}.

lgmoneda

import numpy as np
import pandas as pd
import itertools
import seaborn as sns
import matplotlib.pyplot as plt
import openai
import os
import time

from dotenv import load_dotenv