将 Wordlist 读入 Rapidminer Execute R
Read Wordlist into Rapidminer Execute R
我正在使用 Rapidminer,在 Wordlist to Data 运算符之后,我想使用 Execute R 创建一个词云下面的脚本。我得到 R 执行失败:"no applicable method for 'TermDoumentMatrix' applied to an object of class \"c('data.table', data.frame')\".
数据表有一列单词、一列文档出现次数和一列单词出现次数。
谁能告诉我如何解决这个错误?
rm_main = function(data)
{
wordcloud::wordcloud(data, scale=c(5,0.5), max.words=100, random.order=FALSE,
rot.per=0.35, use.r.layout=FALSE, colors="Dark2")
}
将整个数据帧 data
作为第一个参数传递给 wordcloud
是行不通的。 (事实上它会工作,如果它是 termDocumentMatrix
类型的对象,它是 R 的 tm
包的一部分,但那是另一回事;然而这就是错误消息的内容。)从 RapidMiner 内部您必须分别将单词及其频率指定为第一个和第二个参数。
所以你可以使用
rm_main = function(data)
{
windows() # on MS Windows systems
wordcloud::wordcloud(data$word, data$total, min.freq = 1)
Sys.sleep(5)
}
这是一个示例过程,它创建一个词云,将其保存到 "c:\mywordcloud.pdf" 并使用与 .pdf 文件关联的默认应用程序打开它(在 Windows 上):
<?xml version="1.0" encoding="UTF-8"?><process version="7.3.000">
<context>
<input/>
<output/>
<macros/>
</context>
<operator activated="true" class="process" compatibility="7.3.000" expanded="true" name="Process">
<parameter key="logverbosity" value="init"/>
<parameter key="random_seed" value="2001"/>
<parameter key="send_mail" value="never"/>
<parameter key="notification_email" value=""/>
<parameter key="process_duration_for_mail" value="30"/>
<parameter key="encoding" value="SYSTEM"/>
<process expanded="true">
<operator activated="true" class="text:create_document" compatibility="7.3.000" expanded="true" height="68" name="Create Document" width="90" x="179" y="187">
<parameter key="text" value="Hello world world!"/>
<parameter key="add label" value="false"/>
<parameter key="label_type" value="nominal"/>
</operator>
<operator activated="true" class="text:process_documents" compatibility="7.3.000" expanded="true" height="103" name="Process Documents" width="90" x="313" y="238">
<parameter key="create_word_vector" value="true"/>
<parameter key="vector_creation" value="TF-IDF"/>
<parameter key="add_meta_information" value="true"/>
<parameter key="keep_text" value="false"/>
<parameter key="prune_method" value="none"/>
<parameter key="prune_below_percent" value="3.0"/>
<parameter key="prune_above_percent" value="30.0"/>
<parameter key="prune_below_rank" value="0.05"/>
<parameter key="prune_above_rank" value="0.95"/>
<parameter key="datamanagement" value="double_sparse_array"/>
<process expanded="true">
<operator activated="true" class="text:tokenize" compatibility="7.3.000" expanded="true" height="68" name="Tokenize" width="90" x="45" y="34">
<parameter key="mode" value="non letters"/>
<parameter key="characters" value=".:"/>
<parameter key="language" value="English"/>
<parameter key="max_token_length" value="3"/>
</operator>
<connect from_port="document" to_op="Tokenize" to_port="document"/>
<connect from_op="Tokenize" from_port="document" to_port="document 1"/>
<portSpacing port="source_document" spacing="0"/>
<portSpacing port="sink_document 1" spacing="0"/>
<portSpacing port="sink_document 2" spacing="0"/>
</process>
</operator>
<operator activated="true" class="text:wordlist_to_data" compatibility="7.3.000" expanded="true" height="82" name="WordList to Data" width="90" x="514" y="289"/>
<operator activated="true" class="r_scripting:execute_r" compatibility="7.2.000" expanded="true" height="82" name="Execute R" width="90" x="715" y="289">
<parameter key="script" value="rm_main = function(data) { windows() wordcloud::wordcloud(data$word, data$total, min.freq = 1) Sys.sleep(3) } "/>
</operator>
<connect from_op="Create Document" from_port="output" to_op="Process Documents" to_port="documents 1"/>
<connect from_op="Process Documents" from_port="word list" to_op="WordList to Data" to_port="word list"/>
<connect from_op="WordList to Data" from_port="example set" to_op="Execute R" to_port="input 1"/>
<connect from_op="Execute R" from_port="output 1" to_port="result 1"/>
<portSpacing port="source_input 1" spacing="0"/>
<portSpacing port="sink_result 1" spacing="0"/>
<portSpacing port="sink_result 2" spacing="0"/>
</process>
</operator>
</process>
我正在使用 Rapidminer,在 Wordlist to Data 运算符之后,我想使用 Execute R 创建一个词云下面的脚本。我得到 R 执行失败:"no applicable method for 'TermDoumentMatrix' applied to an object of class \"c('data.table', data.frame')\".
数据表有一列单词、一列文档出现次数和一列单词出现次数。
谁能告诉我如何解决这个错误?
rm_main = function(data)
{
wordcloud::wordcloud(data, scale=c(5,0.5), max.words=100, random.order=FALSE,
rot.per=0.35, use.r.layout=FALSE, colors="Dark2")
}
将整个数据帧 data
作为第一个参数传递给 wordcloud
是行不通的。 (事实上它会工作,如果它是 termDocumentMatrix
类型的对象,它是 R 的 tm
包的一部分,但那是另一回事;然而这就是错误消息的内容。)从 RapidMiner 内部您必须分别将单词及其频率指定为第一个和第二个参数。
所以你可以使用
rm_main = function(data)
{
windows() # on MS Windows systems
wordcloud::wordcloud(data$word, data$total, min.freq = 1)
Sys.sleep(5)
}
这是一个示例过程,它创建一个词云,将其保存到 "c:\mywordcloud.pdf" 并使用与 .pdf 文件关联的默认应用程序打开它(在 Windows 上):
<?xml version="1.0" encoding="UTF-8"?><process version="7.3.000">
<context>
<input/>
<output/>
<macros/>
</context>
<operator activated="true" class="process" compatibility="7.3.000" expanded="true" name="Process">
<parameter key="logverbosity" value="init"/>
<parameter key="random_seed" value="2001"/>
<parameter key="send_mail" value="never"/>
<parameter key="notification_email" value=""/>
<parameter key="process_duration_for_mail" value="30"/>
<parameter key="encoding" value="SYSTEM"/>
<process expanded="true">
<operator activated="true" class="text:create_document" compatibility="7.3.000" expanded="true" height="68" name="Create Document" width="90" x="179" y="187">
<parameter key="text" value="Hello world world!"/>
<parameter key="add label" value="false"/>
<parameter key="label_type" value="nominal"/>
</operator>
<operator activated="true" class="text:process_documents" compatibility="7.3.000" expanded="true" height="103" name="Process Documents" width="90" x="313" y="238">
<parameter key="create_word_vector" value="true"/>
<parameter key="vector_creation" value="TF-IDF"/>
<parameter key="add_meta_information" value="true"/>
<parameter key="keep_text" value="false"/>
<parameter key="prune_method" value="none"/>
<parameter key="prune_below_percent" value="3.0"/>
<parameter key="prune_above_percent" value="30.0"/>
<parameter key="prune_below_rank" value="0.05"/>
<parameter key="prune_above_rank" value="0.95"/>
<parameter key="datamanagement" value="double_sparse_array"/>
<process expanded="true">
<operator activated="true" class="text:tokenize" compatibility="7.3.000" expanded="true" height="68" name="Tokenize" width="90" x="45" y="34">
<parameter key="mode" value="non letters"/>
<parameter key="characters" value=".:"/>
<parameter key="language" value="English"/>
<parameter key="max_token_length" value="3"/>
</operator>
<connect from_port="document" to_op="Tokenize" to_port="document"/>
<connect from_op="Tokenize" from_port="document" to_port="document 1"/>
<portSpacing port="source_document" spacing="0"/>
<portSpacing port="sink_document 1" spacing="0"/>
<portSpacing port="sink_document 2" spacing="0"/>
</process>
</operator>
<operator activated="true" class="text:wordlist_to_data" compatibility="7.3.000" expanded="true" height="82" name="WordList to Data" width="90" x="514" y="289"/>
<operator activated="true" class="r_scripting:execute_r" compatibility="7.2.000" expanded="true" height="82" name="Execute R" width="90" x="715" y="289">
<parameter key="script" value="rm_main = function(data) { windows() wordcloud::wordcloud(data$word, data$total, min.freq = 1) Sys.sleep(3) } "/>
</operator>
<connect from_op="Create Document" from_port="output" to_op="Process Documents" to_port="documents 1"/>
<connect from_op="Process Documents" from_port="word list" to_op="WordList to Data" to_port="word list"/>
<connect from_op="WordList to Data" from_port="example set" to_op="Execute R" to_port="input 1"/>
<connect from_op="Execute R" from_port="output 1" to_port="result 1"/>
<portSpacing port="source_input 1" spacing="0"/>
<portSpacing port="sink_result 1" spacing="0"/>
<portSpacing port="sink_result 2" spacing="0"/>
</process>
</operator>
</process>