728
Feature Request: Pipelining Outlier Removal · Issue #9630 · scikit-learn/scikit-learn
Yes, #3855, #4143, #4552 and scikit-learn/enhancement_proposals#2 all relate.

I don't see why resample is entirely inappropriate here.

Meta-estimator (almost; untested):

class WithoutOutliersClassifier(BaseEstimator, ClassifierMixin):
def __init__(self, outlier_detector, classifier):
self.outlier_detector = outlier_detector
self.classifier = classifier

def fit(self, X, y):
self.outlier_detector_ = clone(self.outlier_detector)
mask = self.outlier_detector_.fit_predict(X, y) == 1
self.classifier_ = clone(self.classifier).fit(X[mask], y[mask])
return self

def predict(self, X):
return self.classifier_.predict(X)
sklearn  pipeline  meta  estimator  transform  target  sample 
january 2019
micro:bit IoT In C - First Steps With The GPIO
This is complicated so a summary will help:

In input mode you only have to keep the voltage on a GPIO line between 0 and 3.3V. The GPIO line in input mode is high impedance and draws little current from whatever is connected to it.
In output mode with the default standard drive the voltage is between 0 and 3.3V and the current has to be less than 0.5mA
In output mode a GPIO line with high drive turned on the current has to be less than 5mA.
The total current in all of the GPIO lines has to be less than 15mA.
micro  bit  gpio  maximum  ratings 
december 2018
« earlier      
10 a adc agence ai amp anaconda analogs and antenna api app arduino array artificial atelier auto autodesk bash basic bass batteries ble blockchain board buffering buterin byzantine calculator canada card change channels circuit class computer conda controller couples cpp cpu cryptocurrency cuda dashboard data database de deep delegated density design desktop diy django docker documentation driving eagle economy electronics embedded energy environment eos error espace estimation estimator ethereum example fault file flow for framework full galvaniques games gan gevent git gpio gpu grand gta gui guide harvesting hid high hmi hydraulic hyperparameter image in install installation intel interface interrupt iot iota ipi ipu jupyter kernel keyboard learing learning libnodave library life linux logo logo! logo!8 loom lora lorawan low machine management manual matrix minnow module modules motes multiplication network networks neural node notebook of on pandas pcb pi pipeline plc power pre problem processing programming proof protocol pubchem pug pycharm pyqt pyqt5 python qt quantum radio rapsberry raspberry raspbian read redirection reference reinforcement remote resolution rest revenu review rf rfid rs&de s7 scaling science scratch screen sd self sensor server services set setup siemens single sklearn slasher smart snap7 sparkfun ssh stake tar telosb tft the theft time tinyos to toiture token tolerance tornado touch transfer tuning tutorial tutorials uav ubuntu udoo understanding user using virtualenv visual vitalik vs wearables web websockets wifi windows wireless with write

Copy this bookmark:



description:


tags: