knime | 易学教程

regexMatcher in String Manipulation KNIME

阅读更多关于 regexMatcher in String Manipulation KNIME

问题 I'm trying to use regexMatcher from String Manipulation in KNIME but it doesn't work. I'm writing the following: regexMatcher($Document$,"/\w") when I want to extract all sentences that have /s or /p or w/p or /200. However even though I have such cases in my table nothing is retrieved. I will appreciate your help. 回答1: I got the following: |Document |isOK |other|strict| |--------------|-----|-----|------| |Some /p with q|True |False|False | |/200 |True |True |False | |/p |True |True |True |

How do I set the NLS_DATE_FORMAT for the Database Reader node in Knime?

阅读更多关于 How do I set the NLS_DATE_FORMAT for the Database Reader node in Knime?

问题 I am using the following SQL in the Knime Database Reader node with Oracle Driver: SELECT TO_DATE(SYSDATE, 'yyyy-mm-dd HH24:mi:ss') “NOW” FROM DUAL The result contains the correct Date but the time is always 00:00:00. If I run the same query Oracle LiveSQL or DBfiddle I have the accurate time as well. See: DBfiddle The reason I think it works in DBfiddle and LiveSQL is because I am setting NLS_DATE_FORMAT . How do I set the NLS_DATE_FORMAT for the Database Reader node in Knime? 来源： https:/

Error in seq.default(from = min(x, na.rm = TRUE), to = max(x, na.rm = TRUE), : 'from' cannot be NA, NaN or infinite

阅读更多关于 Error in seq.default(from = min(x, na.rm = TRUE), to = max(x, na.rm = TRUE), : 'from' cannot be NA, NaN or infinite

问题 I'm using R Learner in Knime. I want to discretize a matrix, which is the following: > my_matrix= as(knime.in,"matrix"); > dput(head(my_matrix, 5)) structure(c("KS", "OH", "NJ", "OH", "OK", "128", "107", "137", " 84", " 75", "415", "415", "415", "408", "415", "No", "No", "No", "Yes", "Yes", "Yes", "Yes", "No", "No", "No", "25", "26", " 0", " 0", " 0", "265.1", "161.6", "243.4", "299.4", "166.7", "110", "123", "114", " 71", "113", "45.07", "27.47", "41.38", "50.90", "28.34", "197.4", "195.5",

KNIME 3.2 Tableau Node error

阅读更多关于 KNIME 3.2 Tableau Node error

问题 I installed the new (in KNIME 3.2) Tableau extension, installed and configured the dependencies as per instructions in the node description (Tableau SDK and Visual Basic Redistributable), and tried to create an extract. My repeated attempts throw the same error: ERROR Tableau Writer (TDE) 0:8 Execute failed: Timeout - IPC_NamedPipe::Select(WaitForMultipleObjects) Does anyone have any tips on how to diagnose this further? Thank you. 回答1: This was resolved with the help of Tableau engineer. The

异常值检测方法（Z-score,DBSCAN,孤立森林）

阅读更多关于异常值检测方法（Z-score,DBSCAN,孤立森林）

机器学习_深度学习_入门经典（博主永久免费教学视频系列） https://study.163.com/course/courseMain.htm?courseId=1006390023&share=2&shareId=400000000398149 微信扫二维码，免费学习更多python资源数据预处理的好坏，很大程度上决定了模型分析结果的好坏。（Garbage In Garbage Out！）其中，异常值（outliers）检测是整个数据预处理过程中，十分重要的一环。方法也是多种多样。比如有基于经典统计的方法——三倍于标准差之上的数据为异常值等等。由于异常值检验，和去重、缺失值处理不同，它带有一定的主观性。所以，想请问一下各位大牛，平时你们更愿意相信哪种或哪几种异常值检测的方法。作者：阿里云云栖社区链接：https://www.zhihu.com/question/38066650/answer/549125707 来源：知乎著作权归作者所有。商业转载请联系作者获得授权，非商业转载请注明出处。异常值检测的常见四种方法，分别为Numeric Outlier、Z-Score、DBSCA以及Isolation Forest 在训练机器学习算法或应用统计技术时，错误值或异常值可能是一个严重的问题，它们通常会造成测量误差或异常系统条件的结果，因此不具有描述底层系统的特征。实际上

Apply PMML predictor model in python

阅读更多关于 Apply PMML predictor model in python

问题 Knime has generated for me a PMML model. At this time I want to apply this model to a python process. What is the right way to do this? More in depth: I develop a django student attendance system. The application is already so mature that I have time to implement the 'I'm feeling lucky' button to automatically fill an attendance form. Here is where PMML comes in. Knime has generated a PMML model that predicts student attendance. Also, thanks to django for being so productive that I time for