Alexey C ColdTeapot273K

## week-05-broken.ipynb

      
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                ColdTeapot273K
                / week-05-broken.ipynb
            
            
              Last active
              April 25, 2022 22:29
            
              
                stat-rethinking-week-05
              
          
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## transform_colorscale.py
import plotly.express as px

palette = px.colors.sequential.Bluered.copy()
new_palette = list()
for color in palette:
    orig_color = color[4:-1].split(",")
#     offset = 50
#     offset = 75
    offset = 100
    orig_color = [np.clip(offset + int(color_elem), 0, 255) for color_elem in orig_color]

## aleksej-intheloop.zsh-theme
# A multiline prompt with username, hostname, full path, return status, git branch, git dirty status, git remote status

local return_status="%{$fg[red]%}%(?..⏎)%{$reset_color%}"

local host_color="green"
# if [ -n "$SSH_CLIENT" ]; then
#   local host_color="red"
# fi

# add extra styling for activated venvs

## aleksej-intheloop.zsh-theme
# A multiline prompt with username, hostname, full path, return status, git branch, git dirty status, git remote status

local return_status="%{$fg[red]%}%(?..⏎)%{$reset_color%}"

local host_color="green"
if [ -n "$SSH_CLIENT" ]; then
  local host_color="red"
fi

PROMPT='

## vw-convergence.ipynb

      
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                ColdTeapot273K
                / vw-convergence.ipynb
            
            
              Last active
              January 4, 2023 09:16
            
              
                Problem with learning from context for Vowpal Wabbit on simple data.
              
          
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## scipy_vs_cvxpy.py
"""constrained LLSQ"""

"""scipy.minimize"""

import numpy as np
from scipy import optimize
from scipy import linalg

# Generate random problem data.
m = 30
	import plotly.express as px

	palette = px.colors.sequential.Bluered.copy()
	new_palette = list()
	for color in palette:
	orig_color = color[4:-1].split(",")
	# offset = 50
	# offset = 75
	offset = 100
	orig_color = [np.clip(offset + int(color_elem), 0, 255) for color_elem in orig_color]
	# A multiline prompt with username, hostname, full path, return status, git branch, git dirty status, git remote status

	local return_status="%{$fg[red]%}%(?..⏎)%{$reset_color%}"

	local host_color="green"
	# if [ -n "$SSH_CLIENT" ]; then
	# local host_color="red"
	# fi

	# add extra styling for activated venvs
	"""constrained LLSQ"""

	"""scipy.minimize"""

	import numpy as np
	from scipy import optimize
	from scipy import linalg

	# Generate random problem data.
	m = 30