<prompt> Hlalosa hore na vector ke eng.nan  <response>: Instruction in English: Explain what is a feature vector. . Response in English: A feature vector is an ordered list of numerical values that represents an object or data point in a multi-dimensional space. In the context of machine learning and pattern recognition, the values of the feature vector represent the characteristics or attributes of the object being described, where each attribute is a dimension in the space. For instance, if the object is a fruit, its feature vector could include attributes such as its weight, size, color, and shape. Feature vectors play an important role in building models for classification, regression, clustering, and other machine learning tasks by providing a compact and informative representation of the data. . Response in Sesotho: Feature Vector ke lenane le hlophisitsoeng la linomoro tse emelang ntho kapa lintlha tsa data sebakeng se nang le mahlakore a mangata. Boemong ba ho ithuta ka mochini le temoho ea paterone, boleng ba vector ea sebopeho bo emela litšobotsi kapa litšoaneleho tsa ntho e hlalosoang, moo tšobotsi ka ngoe e leng boholo sebakeng. Ka mohlala, haeba ntho e le tholoana, vector ea eona e ka kenyelletsa litšobotsi tse kang boima ba eona, boholo, mala le sebōpeho. Li-vector tsa likarolo li bapala karolo ea bohlokoa ho aheng mefuta ea ho hlophisa, ho theola maemo, ho kopanya, le mesebetsi e meng ea ho ithuta ka mochini ka ho fana ka tlhahiso e hlakileng le e rutang ea data. 