scikit-learn

问题 When trying to install Python's sklearn package on Windows 10 using pip I am given an EnvironmentError that tells me there is no such file or directory of a specific file: ERROR: Could not install packages due to an EnvironmentError: [Errno 2] No such file or directory: 'C:\Users\Rik\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.8_qbz5n2kfra8p0\LocalCache\local-packages\Python38\site-packages\sklearn\datasets\tests\data\openml\292\api-v1-json-data-list-data_name-australian-limit-2

问题 When trying to install Python's sklearn package on Windows 10 using pip I am given an EnvironmentError that tells me there is no such file or directory of a specific file: ERROR: Could not install packages due to an EnvironmentError: [Errno 2] No such file or directory: 'C:\Users\Rik\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.8_qbz5n2kfra8p0\LocalCache\local-packages\Python38\site-packages\sklearn\datasets\tests\data\openml\292\api-v1-json-data-list-data_name-australian-limit-2

问题 I'm trying to solve the Titanic survival program from Kaggle. It's my first step in actually learning Machine Learning. I have a problem where the gender column causes an error. The stacktrace says could not convert string to float: 'female' . How did you guys come across this issue? I don't want solutions. I just want a practical approach to this problem because I do need the gender column to build my model. This is my code: import pandas as pd from sklearn.tree import DecisionTreeRegressor

问题 I am trying to use the scikit-learn module to compute AUC and plot ROC curves for the output of three different classifiers to compare their performance. I am very new to this topic, and I am struggling to understand how the data I have should input to the roc_curve and auc functions. For each item within the testing set, I have the true value and the output of each of the three classifiers. The classes are ['N', 'L', 'W', 'T'] . In addition, I have a confidence score for each value output

问题 I am using scikit-learn's Random Forest Regressor to fit a random forest regressor on a dataset. Is it possible to interpret the output in a format where I can then implement the model fit without using scikit-learn or even Python? The solution would need to be implemented in a microcontroller or maybe even an FPGA. I am doing analysis and learning in Python but want to implement on a uC or FPGA. 回答1: You can check out graphviz, which uses 'dot language' for storing models (which is quite

问题 I am using scikit-learn's Random Forest Regressor to fit a random forest regressor on a dataset. Is it possible to interpret the output in a format where I can then implement the model fit without using scikit-learn or even Python? The solution would need to be implemented in a microcontroller or maybe even an FPGA. I am doing analysis and learning in Python but want to implement on a uC or FPGA. 回答1: You can check out graphviz, which uses 'dot language' for storing models (which is quite

问题 Closed. This question does not meet Stack Overflow guidelines. It is not currently accepting answers. Want to improve this question? Update the question so it's on-topic for Stack Overflow. Closed 2 months ago . Improve this question Is new macbook m1 suitable for Data Science? Do Data Science python libraries such as pandas, numpy, sklearn etc work on the macbook m1 (Apple Silicon) chip and how fast compared to the previous generation intel based macbooks? 回答1: This GitHub repository has

问题 After creating SKLearn() instance and using HyperparamaterTuner with a few hyperparameter ranges, I get the best estimator. When I try to deploy() the estimator, it gives an error in the log. Exactly same error happens when I create transformer and call transform on it(). Doesn't deploy and doesn't transform. What could be the problem and at least how could I possibly narrow down the problem? I have no idea how to even begin to figure this out. Googling didn't help. Nothing comes up. Creating

问题 I have the CSV data as follows: A_ID P_ID 1429982904 1430370002 1430974801 1431579602 1432184403 1432789202 1435208402 1435308653 11Jgipc qjMakF 364 365 363 363 364 364 364 367 11Jgipc qxL8FJ 18 18 18 18 18 18 18 18 11Jgipc r0Bpnt 40 40 41 41 41 42 42 42 11Jgipc roLk4N 140 140 143 143 146 147 147 149 11Jgipc tOudhM 12 13 13 13 13 13 14 14 11Jgipc u-x6o8 678 678 688 688 689 690 692 695 11Jgipc u5HHmV 1778 1785 1811 1811 1819 1826 1834 1836 11Jgipc ufrVoP 67 67 67 67 67 67 67 67 11Jgipc vRqMK4

问题 I have the CSV data as follows: A_ID P_ID 1429982904 1430370002 1430974801 1431579602 1432184403 1432789202 1435208402 1435308653 11Jgipc qjMakF 364 365 363 363 364 364 364 367 11Jgipc qxL8FJ 18 18 18 18 18 18 18 18 11Jgipc r0Bpnt 40 40 41 41 41 42 42 42 11Jgipc roLk4N 140 140 143 143 146 147 147 149 11Jgipc tOudhM 12 13 13 13 13 13 14 14 11Jgipc u-x6o8 678 678 688 688 689 690 692 695 11Jgipc u5HHmV 1778 1785 1811 1811 1819 1826 1834 1836 11Jgipc ufrVoP 67 67 67 67 67 67 67 67 11Jgipc vRqMK4