Vishal Belsare vishalbelsare
vishalbelsare
/ kernel_kmeans.py
Last active
October 21, 2015 05:43
— forked from mblondel/kernel_kmeans.py
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| """Kernel K-means""" | |
| # Author: Mathieu Blondel <[email protected]> | |
| # License: BSD 3 clause | |
| import numpy as np | |
| from sklearn.base import BaseEstimator, ClusterMixin | |
| from sklearn.metrics.pairwise import pairwise_kernels | |
| from sklearn.utils import check_random_state |
vishalbelsare
/ prog--lasso-forecast--simulated-data--dense-shocks--04dec2015.R
Created
April 21, 2017 15:48
— forked from alexchinco/prog--lasso-forecast--simulated-data--dense-shocks--04dec2015.R
Simulation analysis of using the LASSO to forecast stock returns.
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| ########################################################################### | |
| ########################################################################### | |
| ## @purpose: Simulate return data with dense shocks and show that the | |
| ## LASSO doesn't add any forecasting power. | |
| ## ------------------------------------------------------------------------ | |
| ## @author: Alex Chinco | |
| ## @date: 04-DEC-2015 | |
| ########################################################################### | |
| ########################################################################### |
vishalbelsare
/ ranking.py
Created
September 8, 2017 15:43
— forked from agramfort/ranking.py
Pairwise ranking using scikit-learn LinearSVC
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| """ | |
| Implementation of pairwise ranking using scikit-learn LinearSVC | |
| Reference: "Large Margin Rank Boundaries for Ordinal Regression", R. Herbrich, | |
| T. Graepel, K. Obermayer. | |
| Authors: Fabian Pedregosa <[email protected]> | |
| Alexandre Gramfort <[email protected]> | |
| """ |
vishalbelsare
/ TimeSeries-Decomposition.ipynb
Created
December 5, 2017 21:41
— forked from balzer82/TimeSeries-Decomposition.ipynb
TimeSeries Decomposition in Python with statsmodels and Pandas
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vishalbelsare
/ jupyter.service
Created
December 15, 2017 21:02
— forked from whophil/jupyter.service
A systemd script for running a Jupyter notebook server.
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| # After Ubuntu 16.04, Systemd becomes the default. | |
| # It is simpler than https://gist.github.com/Doowon/38910829898a6624ce4ed554f082c4dd | |
| [Unit] | |
| Description=Jupyter Notebook | |
| [Service] | |
| Type=simple | |
| PIDFile=/run/jupyter.pid | |
| ExecStart=/home/phil/Enthought/Canopy_64bit/User/bin/jupyter-notebook --config=/home/phil/.jupyter/jupyter_notebook_config.py |
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| (dbus-introspect :session "org.freedesktop.Tracker1" | |
| "/org/freedesktop/Tracker1") | |
| "<!DOCTYPE node PUBLIC \"-//freedesktop//DTD D-BUS Object Introspection 1.0//EN\" | |
| \"http://www.freedesktop.org/standards/dbus/1.0/introspect.dtd\"> | |
| <!-- GDBus 2.54.0 --> | |
| <node> | |
| <node name=\"Backup\"/> | |
| <node name=\"Steroids\"/> | |
| <node name=\"Statistics\"/> | |
| <node name=\"Status\"/> |
vishalbelsare
/ tracker-dbus-async.el
Created
December 27, 2017 21:28
Emacs Lisp function to call Gnome Tracker's FTS Search via D-Bus and display results in a dired buffer
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| (require 'dbus) | |
| (require 'dash) | |
| (defun tracker-dbus-async (search-terms) | |
| (interactive "sFulltext Search String: ") | |
| ;; mapcar 'car --> mapcar 'url-file-truename --> dired cons | |
| (defun tracker-results-process (search-terms results) | |
| (if | |
| (-contains? |
vishalbelsare
/ gist:1af34abf905f3a4b30c3a325a48ba22a
Created
February 20, 2018 15:34
journalctl - libinput, xwayland, gnome shell
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| Feb 20 16:28:28 einstein org.gnome.Shell.desktop[19485]: gnome-shell: ../libinput-1.10.0/src/evdev-mt-touchpad-tap.c:1073: tp_tap_handlle_state: Assertion `tp->tap.nfingers_down <= tp->nfingers_down' failed. | |
| Feb 20 16:28:28 einstein org.gnome.Shell.desktop[19485]: == Stack trace for context 0x5638f1dec000 == | |
| Feb 20 16:28:29 einstein gnome-terminal-[19854]: Error reading events from display: Broken pipe | |
| Feb 20 16:28:29 einstein evolution-alarm[19716]: Error reading events from display: Broken pipe | |
| Feb 20 16:28:29 einstein org.gnome.Shell.desktop[19485]: (EE) | |
| Feb 20 16:28:29 einstein org.gnome.Shell.desktop[19485]: Fatal server error: | |
| Feb 20 16:28:29 einstein org.gnome.Shell.desktop[19485]: (EE) failed to read Wayland events: Broken pipe | |
| Feb 20 16:28:29 einstein org.gnome.Shell.desktop[19485]: (EE) | |
| Feb 20 16:28:29 einstein systemd[19409]: gnome-terminal-server.service: Main process exited, code=exited, status=1/FAILURE | |
| Feb 20 16:28:29 einstein systemd[19409]: gnome-terminal-server.service: Failed with result 'e |
vishalbelsare
/ risk_parity_strategy.py
Created
February 20, 2018 21:16
— forked from FJR2/risk_parity_strategy.py
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| import pandas as pd | |
| import pandas_datareader.data as web | |
| import numpy as np | |
| import datetime | |
| from scipy.optimize import minimize | |
| TOLERANCE = 1e-10 | |
| def _allocation_risk(weights, covariances): |
vishalbelsare
/ asset-pricing-time-scales.R
Created
March 27, 2018 18:01
— forked from alexchinco/asset-pricing-time-scales.R
Code to create figures for my post "Identifying Relevant Asset Pricing Time Scales". url: http://www.alexchinco.com/identifying-relevant-asset-pricing-time-scales/
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| ################################################################################ | |
| ################################################################################ | |
| ## Prep workspace | |
| ################################################################################ | |
| ################################################################################ | |
| options(width=200, digits=6, digits.secs=6) | |
| rm(list=ls()) | |
| library(foreign) |
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