 (green material) and add them to the compost pile. A couple of times a year we empty our house compost pile and add it to the large compost pile as well.
Every spring, after creating the new compost pile Elad buries the BioDynamic compost preparation in the new pile before covering it. The BioDynamic compost preparation can be viewed as a homeopathic remedy for the earth. They are made of specific herbs: yarrow flowers, chamomile blossoms, the whole areal portion of the stinging nettle while in flower, oak bark, dandelion blossoms and Valerian flowers. To learn more about these herbs and why they are being used in the compost preparation please look here. The herbs go through a process that enhances their effect on the compost pile. While we create the compost preparation with the farmer on our neighboring farm, you can purchase it through the Josephine Porter Institution.
Compost piles are really magical. If you will excuse the language, you collect a load of shit and it transforms into a living fertile soil. The element that creates this magic is the element of warmth. The alchemist of the middle ages perceived the element of warmth as the process that transmutes matter into spirit. This is not surprising since you can experience the effect of warmth on water when you warm it and they turn into gas on the same way burned wood turns into ash and smoke. While we do not actively measure the temperature of our compost pile, the ideal temperature is 120-170F. The warmer your compost pile the faster the composting process.
“Good things come to those who wait”
~Violet Fane 1892
In BioDynamic agriculture, we prefer a slow composting process. Our process takes about a year and a half. Commercial compost companies accelerate the fermentation process in the compost by raising the heat in the pile. They do that by turning the compost every week which provides air that feeds the burning process and enhances it. We turn our compost pile about three times in a season in an attempt to keep the pile in a steady warm temperature over a long period of time.
The preparation does have an observable effect on the fermentation process of the compost pile. It moderates the temperature curve by slightly slowing the temperature’s ascent keeping the peak temperature slightly lower and holding the warmth in the pile longer. The compost preparation assists in creating a finished compost with excellent humus structure. (from the Biodynamic association website)
At the end of the season after turning the compost, and just before the frost, we cover the compost with a special compost blanket to protect it during the winter.
Creating your own compost pile from your house food scraps and the green compost from your garden is a very fulfilling process. By doing this, you reduce the amount of garbage that your household produces. You also know what went into your compost and how it was made.
Here are some more tips on creating your own compost:
Do not add weeds to your compost. They will contaminate your compost with weed seeds that you will eventually spread back into your garden. (Seeds can withstand very high temperatures without being destroyed)
Our house compost is kept in a large animal cage. That keeps the compost contained and animals from reaching it.
We layer the house compost with dried leaves to eliminate smells.
If your garden is on a slope you want to keep your compost on the lowers level. Please keep in mind that rain water might stream from your compost to your garden. If your compost is not ripe it will have a contaminating effect on your veggies.
For a small home garden, you need only a couple of buckets of manure. If you live close to a horse, sheep, cow or goat farm ask them if they will be willing to give you some of their manure. You want to use manure from animals that were not treated with antibiotic and hormones and who were fed with organic feed. Manure from animals that are free range is the best.
“With negative energy you can make a positive energy. A flower.”
~ Nhat Hanh
If you dig your hands into the soil in your garden you come to a direct contact with all these small organisms that keep the earth alive and the plants in your garden healthy. In the same way that the human digestive system turns matter (food) into energy (life) Compost has the power to bring life into our food and hence, into our bodies. Making your own compost and coming in direct contact with this enlivening process add to the vitality of the soil, your plants, your body and even your soul.breaking news
LUBBOCK, TX (Sports Network) - Martin Zeno scored 22 points and hit three free throws over the final 24.9 seconds, as Texas Tech upset No. 6 Texas A&M, 70-68, giving the Red Raiders their second victory over a top 10 team in less than a week. On Saturday, Texas Tech got past the fifth-ranked Kansas Jayhawks, 69-64. Jon Plefka added 17 points and Jarrius Jackson scored 13 for the Red Raiders (15-5, 4-1 Big 12), who won for the fifth time in six contests. Zeno went 13-of-14 at the charity stripe. Acie Law had 26 points for the Aggies (16-3, 4-1), who had an 11-game conference winning streak broken. Dominique Kirk tallied 12 points and Joseph Jones 11 in a losing cause, as Texas Tech`s nine-game winning streak came to an end. Zeno hit one free throw with 24.9 seconds left for a 68-67 Texas Tech lead. He missed the second try, but then stole an inbounds pass intended for Jones in the lane. Zeno made two more foul shots with eight seconds remaining before Law was fouled just past midcourt with 3.4 ticks left. Law made the first and intentionally missed the second and got his own rebound. However, the ball never hit the rim on the second try, and Texas Tech assumed possession. A long pass to Zeno then ended the game, as he dribbled out the remaining time, with the fans storming the court.
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hello# PDPbox
[![PyPI version](https://badge.fury.io/py/PDPbox.svg)](https://badge.fury.io/py/PDPbox)  
**Current development version is slightly different from the one on pypi**

python partial dependence plot toolbox  
This repository is inspired by [ICEbox](https://github.com/kapelner/ICEbox). The goal is to visualize the impact of certain features towards model prediction for any supervised learning algorithm. (now support all scikit-learn algorithms)

## The common problem
When using black box machine learning algorithms like random forest and boosting, it is hard to understand the relations between predictors and model outcome. For example, in terms of random forest, all we get is the feature importance. Although we can know which feature is significantly influencing the outcome based on the importance calculation, it really sucks that we don’t know in which direction it is influencing. And in most of the real cases, the effect is non-monotonic. We need some powerful tools to help understanding the complex relations between predictors and model prediction.  
PDPbox aims to wrap up and enrich some useful functions mentioned in [ICEbox](https://github.com/kapelner/ICEbox) in Python.

## Highlight
1. Support one-hot encoding features.
2. For numeric features, create grids with percentile points.
3. Directly handle multiclass classifier.
4. Support two variable interaction plot.
5. Support actual prediction plot.
6. Support target plot, ploting true target rate through selected grid points.

## Documentation
For details about the ideas, please refer to [Introducing PDPbox](https://medium.com/@SauceCat/introducing-pdpbox-2aa820afd312).  
For description about the functions and parameters, please refer to [PDPbox functions and parameters](https://github.com/SauceCat/PDPbox/blob/master/parameter.md).   
For test and demo, please refer to https://github.com/SauceCat/PDPbox/tree/master/test.

## Install PDPbox
- Through pip :100:
  ```bash
  pip install pdpbox
  ```
- Through git
  ```bash
  git clone https://github.com/SauceCat/PDPbox.git
  cd PDPbox
  python setup.py install
  ```

## Examples

### Binary feature
- single variable plot with original points and individual lines    
  <img src="https://github.com/SauceCat/pdpBox/blob/master/images/binary_03.png" width="80%"><br>
- single variable plot with clustered individual lines    
  <img src="https://github.com/SauceCat/pdpBox/blob/master/images/binary_04.png" width="80%"><br>
- actual predictions plot for a single variable  
  <img src="https://github.com/SauceCat/PDPbox/blob/master/images/actual_preds_01.PNG" width="80%"><br>

### Numeric feature 
- single variable plot with percentile_range=(5, 95)    
  <img src="https://github.com/SauceCat/pdpBox/blob/master/images/numeric_05.png" width="80%"><