amitness

import matplotlib.pyplot as plt
from sklearn.metrics import ConfusionMatrixDisplay, confusion_matrix

def plot_confusion_matrix(y_preds, y_true, labels):
    cm = confusion_matrix(y_true, y_preds)
    fig, ax = plt.subplots(figsize=(6, 6))
    disp = ConfusionMatrixDisplay(confusion_matrix=cm, display_labels=labels) 
    disp.plot(cmap="Blues", values_format=".2f", ax=ax, colorbar=False) 
    plt.title("Normalized confusion matrix")
    plt.show()

amitness

# Download button

st.download_button(
     label="Download sample file here",
     data=sample_file,
     file_name='sample_data.csv',
     mime='text/csv',
 )

amitness

from zipfile import ZipFile

for annotator, subset in annotation_df.groupby('annotator'):
    with ZipFile(f'{annotator}.zip', 'w') as z:
        for path in subset['image_path']:
            z.write(path, os.path.basename(path))

amitness

pip install git+https://github.com/nexxt-intelligence/DeepMoji@tf-keras
pip install wordcloud matplotlib

amitness

emoji_cloud = EmojiCloud(font_path='./Symbola.ttf', color='yellow')
emoji_cloud.generate(emojis)

amitness

import string
from wordcloud import WordCloud
from collections import Counter
import matplotlib.pyplot as plt

class EmojiCloud:
    def __init__(self,
                 font_path='Symbola.ttf',
                 color='yellow'):
        self.font_path = font_path

amitness

import string
from wordcloud import WordCloud
from collections import Counter
import matplotlib.pyplot as plt

class EmojiCloud:
    def __init__(self,
                 font_path='Symbola.ttf',
                 color='yellow'):
        self.font_path = font_path

amitness

import pandas as pd
from deepmoji import DeepMoji

# Instantiate the Emoji Model
emoji_model = DeepMoji()

# Read a file containing user opinions
df = pd.read_csv('https://bit.ly/2VbfNiM')
                 
# Predict the emojis for the open-ended text

amitness

Writing a Research Proposal

Objectives (Motivation)

• What will be solved?
• What will be achieved?
• Why is this research important?
  • Scientific
  • Application
  • Society

amitness

title,label
"15 Highly Important Questions About Adulthood, Answered By Michael Ian Black",1
250 Nuns Just Cycled All The Way From Kathmandu To New Delhi,1
"Australian comedians ""could have been shot"" during APEC prank",0
Lycos launches screensaver to increase spammers' bills,0
Fußball-Bundesliga 2008–09: Goalkeeper Butt signs with Bayern Munich,0
"In Afghanistan, Soldiers Bridge 2 Stages of War",0
"After Fleeing North Korea, an Artist Parodies Its Propaganda",0
Lessons (or Not) When a Start-Up Misses the Mark,0