NAME
weka.filters.unsupervised.attribute.Discretize
SYNOPSIS
An instance filter that discretizes a range of numeric attributes in the dataset into nominal attributes. Discretization is by simple binning. Skips the class attribute if set.
OPTIONS
spreadAttributeWeight -- When generating binary attributes, spread weight of old attribute across new attributes. Do not give each new attribute the old weight.
makeBinary -- Make resulting attributes binary.
debug -- If set to true, filter may output additional info to the console.
bins -- Number of bins.
doNotCheckCapabilities -- If set, the filter's capabilities are not checked before it is built. (Use with caution to reduce runtime.)
findNumBins -- Optimize number of equal-width bins using leave-one-out. Doesn't work for equal-frequency binning
attributeIndices -- Specify range of attributes to act on. This is a comma separated list of attribute indices, with "first" and "last" valid values. Specify an inclusive range with "-". E.g: "first-3,5,6-10,last".
desiredWeightOfInstancesPerInterval -- Sets the desired weight of instances per interval for equal-frequency binning.
useBinNumbers -- Use bin numbers (eg BXofY) rather than ranges for for discretized attributes
useEqualFrequency -- If set to true, equal-frequency binning will be used instead of equal-width binning.
binRangePrecision -- The number of decimal places for cut points to use when generating bin labels
invertSelection -- Set attribute selection mode. If false, only selected (numeric) attributes in the range will be discretized; if true, only non-selected attributes will be discretized.
ignoreClass -- The class index will be unset temporarily before the filter is applied.
名字
weka.filters.unsupervised.attribute.Discretize
提要
一個實例過濾器，它將數據集中的一系列數字屬性轉換為名義屬性。離散化通過簡單的結合進行。如果設置，跳過分類屬性。
選項
擴展屬性——當生成二進制屬性時，將舊屬性的權重傳遞到新屬性中。不要給每一個新的屬性一個舊的重量。
makeBinary——生成屬性二進制。
調試——如果設置為真，過濾器可以輸出附加信息到控制台。
段——段的數量。
donotcheck功能——如果設置，過濾器的功能在構建之前不會被檢查。(小心使用，以減少運行時。)
findNumBins——使用leave-one-out優化等寬容器的數量。不適用於等頻賓寧。
屬性索引——指定要執行的屬性的范圍。這是一個逗號分隔的屬性索引列表，帶有“first”和“last”有效值。指定包含“-”的范圍。E。旅客:“前3、5、6 - 10,去年”。
desiredWeightOfInstancesPerInterval——在每個間隔中為等頻率綁定設置所需的實例權重。
useBinNumbers——使用bin編號(如BXofY)，而不是用於離散屬性的范圍。
等頻離散化——如果設置為真，則將使用等頻binning而不是等寬binning。
binRangePrecision——在生成bin標簽時用於切割點的小數位數。
反向選擇——設置屬性選擇模式。如果是false，則在范圍內僅選擇(數值)屬性將被離散;如果是真，則只有非選擇的屬性將被離散化。
ignoreClass——在應用篩選器之前，類索引將被暫時取消。